• IEEE Xplore Digital Library
  • IEEE Standards
  • IEEE Spectrum
  • Resource Center
  • Create Account

What is Signal Processing?

  • Board of Governors
  • Executive Committee
  • Awards Board
  • Conferences Board
  • Membership Board
  • Publications Board
  • Technical Directions Board
  • Standing Committees
  • Liaisons & Representatives
  • Education Board
  • Our Members
  • Society History
  • State of the Society
  • SPS Branding Materials
  • Publications & Resources
  • IEEE Signal Processing Magazine
  • IEEE Journal of Selected Topics in Signal Processing
  • IEEE Signal Processing Letters
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • IEEE Transactions on Computational Imaging

IEEE Transactions on Image Processing

  • IEEE Transactions on Information Forensics and Security
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Signal and Information Processing over Networks
  • IEEE Transactions on Signal Processing
  • Data & Challenges
  • Submit Manuscript
  • Information for Authors
  • Special Issue Deadlines
  • Overview Articles
  • Top Accessed Articles
  • SPS Newsletter
  • SPS Resource Center
  • Publications Feedback
  • Publications FAQ
  • Dataset Papers
  • Conferences & Events
  • Conferences
  • Attend an Event
  • Conference Call for Papers
  • Calls for Proposals
  • Conference Sponsorship Info
  • Conference Resources
  • SPS Travel Grants
  • Conferences FAQ
  • Getting Involved
  • Young Professionals
  • Our Technical Committees
  • Contact Technical Committee
  • Technical Committees FAQ
  • Data Science Initiative
  • Join Technical Committee
  • Young Professionals Resources
  • Member-driven Initiatives
  • Chapter Locator
  • Award Recipients
  • IEEE Fellows Program
  • Call for Nominations
  • Professional Development
  • Distinguished Lecturers
  • Past Lecturers
  • Nominations
  • DIS Nominations
  • Seasonal Schools
  • Industry Resources
  • Job Submission Form
  • IEEE Training Materials
  • For Volunteers
  • Board Agenda/Minutes
  • Chapter Resources
  • Governance Documents
  • Membership Development Reports
  • TC Best Practices
  • SPS Directory
  • Society FAQ
  • Information for Authors-OJSP

SAMTC_webinar.jpg

SAM TC Webinar

  • SPS-ASI Webinar: Midlevel Representations and Domain Specific Geometric Estimation in Computer Vision

Webinar.jpg

ieee research paper image processing

SA-TWG Webinar: Fully Adaptive Radar

Huang_blog_header.jpg.

Qian Huang blog post

Deep Learning for All-in-Focus Imaging

  • Celebrating 75 Years of IEEE SPS
  • Diversity, Equity, and Inclusion
  • General SP Multimedia Content

ieee research paper image processing

  • Submit a Manuscript
  • Editorial Board Nominations
  • Challenges & Data Collections
  • Publication Guidelines
  • Unified EDICS
  • Signal Processing Magazine The premier publication of the society.
  • SPS Newsletter Monthly updates in Signal Processing
  • SPS Resource Center Online library of tutorials, lectures, and presentations.
  • SigPort Online repository for reports, papers, and more.
  • SPS Feed The latest news, events, and more from the world of Signal Processing.
  • IEEE SP Magazine
  • IEEE SPS Content Gazette
  • IEEE SP Letters
  • IEEE/ACM TASLP
  • All SPS Publications
  • SPS Entrepreneurship Forum
  • Call for Papers
  • Call for Proposals
  • Request Sponsorship
  • Conference Organizer Resources
  • Past Conferences & Events
  • Event Calendar
  • Conferences Meet colleagues and advance your career.
  • Webinars Register for upcoming webinars.
  • Distinguished Lectures Learn from experts in signal processing.
  • Seasonal Schools For graduate students and early stage researchers.
  • All Events Browse all upcoming events.
  • Join SPS The IEEE Signal Processing Magazine, Conference, Discounts, Awards, Collaborations, and more!
  • Chapter Locator Find your local chapter and connect with fellow industry professionals, academics and students
  • Women in Signal Processing Networking and engagement opportunities for women across signal processing disciplines
  • Students Scholarships, conference discounts, travel grants, SP Cup, VIP Cup, 5-MICC
  • Young Professionals Career development opportunities, networking
  • Chapters & Communities
  • Member Advocate
  • Awards & Submit an Award Nomination
  • Volunteer Opportunities
  • Organize Local Initiatives
  • Autonomous Systems Initiative
  • Applied Signal Processing Systems
  • Audio and Acoustic Signal Processing
  • Bio Imaging and Signal Processing
  • Computational Imaging
  • Image Video and Multidimensional Signal Processing
  • Information Forensics and Security
  • Machine Learning for Signal Processing
  • Multimedia Signal Processing
  • Sensor Array and Multichannel
  • Signal Processing for Communication and Networking
  • Signal Processing Theory and Methods
  • Speech and Language Processing
  • Synthetic Aperture Technical Working Group
  • Industry Technical Working Group
  • Integrated Sensing and Communication Technical Working Group
  • TC Affiliate Membership
  • Co-Sponsorship of Non-Conference TC Events
  • Mentoring Experiences for Underrepresented Young Researchers (ME-UYR)
  • Micro Mentoring Experience Program (MiME)
  • Distinguished Lecturer Program
  • Distinguished Lecturer Nominations
  • Distinguished Industry Speaker Program
  • Distinguished Industry Speakers
  • Distinguished Industry Speaker Nominations
  • Jobs in Signal Processing: IEEE Job Site
  • SPS Education Program Educational content in signal processing and related fields.
  • Distinguished Lecturer Program Chapters have access to educators and authors in the fields of Signal Processing
  • PROGRESS Initiative Promoting diversity in the field of signal processing.
  • Job Opportunities Signal Processing and Technical Committee specific job opportunities
  • Job Submission Form Employers may submit opportunities in the area of Signal Processing.
  • Technical Committee Best Practices
  • Conflict of Interest
  • Policy and Procedures Manual
  • Constitution
  • Board Agenda/Minutes* Agendas, minutes and supporting documentation for Board and Committee Members
  • SPS Directory* Directory of volunteers, society and division directory for Board and Committee Members.
  • Membership Development Reports* Insight into the Society’s month-over-month and year-over-year growths and declines for Board and Committee Members

Popular Pages

  • Video & Image Processing Cup
  • (ICASSP 2024) 2024 IEEE International Conference on Acoustics, Speech and Signal Processing
  • (MLSP 2024) 2024 IEEE International Workshop on Machine Learning for Signal Processing
  • Signal Processing Cup
  • Signal Processing 101
  • Information for Authors-SPL

Last viewed:

  • Call For Proposals: IEEE MMSP 2024
  • IEEE JSTSP Special Issue on Seeking Low-dimensionality in Deep Neural Networks (SLowDNN)
  • IEEE JSTSP Special Issue on Intelligent Signal Processing and Learning for Next Generation Multiple Access
  • PROGRESS Initiative
  • IEEE Open Journal of Signal Processing
  • Celebrating 75 years of IEEE Signal Processing Society

Search form

You are here.

  • Publications
  • Data Challenges
  • Dataset Resources
  • Challenge Papers
  • Editorial Board
  • Table of Contents
  • Early Access

For Authors

  • IEEE Author Center
  • IEEE Copyright Form

Submit a Manuscript 

Editorial Board Nominations 

ieee research paper image processing

SP_ML_general.jpg

ieee research paper image processing

mentor_help_general_2.jpg

ieee research paper image processing

blog_webinars_nl.jpg

ieee research paper image processing

Top Reasons to Join SPS Today!

1. IEEE Signal Processing Magazine 2. Signal Processing Digital Library* 3. Inside Signal Processing Newsletter 4. SPS Resource Center 5. Career advancement & recognition 6. Discounts on conferences and publications 7. Professional networking 8. Communities for students, young professionals, and women 9. Volunteer opportunities 10. Coming soon! PDH/CEU credits Click here to learn more .

ieee research paper image processing

The IEEE Transactions on Image Processing covers novel theory, algorithms, and architectures for the formation, capture, processing, communication, analysis, and display of images, video, and multidimensional signals in a wide variety of applications. Topics of interest include, but are not limited to, the mathematical, statistical, and perceptual modeling, representation, formation, coding, filtering, enhancement, restoration, rendering, halftoning, search, and analysis of images, video, and multidimensional signals. Applications of interest include image and video communications, electronic imaging, biomedical imaging, image and video systems, and remote sensing.

Reproducible research

The Transactions encourages authors to make their publications reproducible by making all information needed to reproduce the presented results available online. This typically requires publishing the code and data used to produce the publication`s figures and tables on a website; see the supplemental materials section of the information for authors . It gives other researchers easier access to the work, and facilitates fair comparisons.

Multimedia content

It is now possible to submit for review and publish in Xplore supporting multimedia material such as speech samples, images, movies, matlab code etc. A multimedia graphical abstract can also be displayed along with the traditional text. More information is available under Multimedia Materials at the IEEE Author Center .

Impact factor: 4.828 Eigenfactor™ Score: 0.05142 Article Influence: 1.826

ieee research paper image processing

TIP Volume 33 | 2024

  • A Study of Subjective and Objective Quality Assessment of HDR Videos

As compared to standard dynamic range (SDR) videos, high dynamic range (HDR) content is able to represent and display much wider and more accurate ranges of brightness and color, leading to more engaging and enjoyable visual experiences. HDR also implies increases in data volume, further challenging existing limits on bandwidth consumption and on the quality of delivered content.

  • Robust Remote Photoplethysmography Estimation With Environmental Noise Disentanglement

Remote Photoplethysmography (rPPG) has been attracting increasing attention due to its potential in a wide range of application scenarios such as physical training, clinical monitoring, and face anti-spoofing. On top of conventional solutions, deep-learning approach starts to dominate in rPPG estimation and achieves top-level performance.

  • A Discrete-Mapping-Based Cross-Component Prediction Paradigm for Screen Content Coding

Cross-component prediction is an important intra-prediction tool in the modern video coders. Existing prediction methods to exploit cross-component correlation include cross-component linear model and its extension of multi-model linear model. These models are designed for camera captured content. For screen content coding, where videos exhibit different signal characteristics, a cross-component prediction model tailored to their characteristics is desirable.

  • Dynamic Dense Graph Convolutional Network for Skeleton-Based Human Motion Prediction

Graph Convolutional Networks (GCN) which typically follows a neural message passing framework to model dependencies among skeletal joints has achieved high success in skeleton-based human motion prediction task. Nevertheless, how to construct a graph from a skeleton sequence and how to perform message passing on the graph are still open problems, which severely affect the performance of GCN.

Table of Contents:

Tip articles, sps on twitter.

  • DEADLINE EXTENDED: The 2023 IEEE International Workshop on Machine Learning for Signal Processing is now accepting… https://t.co/NLH2u19a3y
  • ONE MONTH OUT! We are celebrating the inaugural SPS Day on 2 June, honoring the date the Society was established in… https://t.co/V6Z3wKGK1O
  • The new SPS Scholarship Program welcomes applications from students interested in pursuing signal processing educat… https://t.co/0aYPMDSWDj
  • CALL FOR PAPERS: The IEEE Journal of Selected Topics in Signal Processing is now seeking submissions for a Special… https://t.co/NPCGrSjQbh
  • Test your knowledge of signal processing history with our April trivia! Our 75th anniversary celebration continues:… https://t.co/4xal7voFER

IEEE SPS Educational Resources

ieee research paper image processing

Home  |   Sitemap  |   Contact  |   Accessibility  |   Nondiscrimination Policy  |   IEEE Ethics Reporting  |   IEEE Privacy Policy  |   Terms  |   Feedback

© Copyright 2024 IEEE – All rights reserved. Use of this website signifies your agreement to the IEEE Terms and Conditions . A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.

Image Processing

Featured article, related topics, top conferences on image processing, top videos on image processing.

Hamid R Tizhoosh - Fuzzy Image Processing

Xplore Articles related to Image Processing

Periodicals related to image processing, e-books related to image processing, courses related to image processing, standards related to image processing, top organizations on image processing, most published xplore authors for image processing.

Underwater Resource Detection Using Image Processing

Ieee account.

  • Change Username/Password
  • Update Address

Purchase Details

  • Payment Options
  • Order History
  • View Purchased Documents

Profile Information

  • Communications Preferences
  • Profession and Education
  • Technical Interests
  • US & Canada: +1 800 678 4333
  • Worldwide: +1 732 981 0060
  • Contact & Support
  • About IEEE Xplore
  • Accessibility
  • Terms of Use
  • Nondiscrimination Policy
  • Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. © Copyright 2024 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.

  • Newsletters

OpenAI teases an amazing new generative video model called Sora

The firm is sharing Sora with a small group of safety testers but the rest of us will have to wait to learn more.

  • Will Douglas Heaven archive page

OpenAI has built a striking new generative video model called Sora that can take a short text description and turn it into a detailed, high-definition film clip up to a minute long.

Based on four sample videos that OpenAI shared with MIT Technology Review ahead of today’s announcement, the San Francisco–based firm has pushed the envelope of what’s possible with text-to-video generation (a hot new research direction that we flagged as a trend to watch in 2024 ).

“We think building models that can understand video, and understand all these very complex interactions of our world, is an important step for all future AI systems,” says Tim Brooks, a scientist at OpenAI.

But there’s a disclaimer. OpenAI gave us a preview of Sora (which means sky in Japanese) under conditions of strict secrecy. In an unusual move, the firm would only share information about Sora if we agreed to wait until after news of the model was made public to seek the opinions of outside experts. [Editor’s note: We’ve updated this story with outside comment below.] OpenAI has not yet released a technical report or demonstrated the model actually working. And it says it won’t be releasing Sora anytime soon. [ Update: OpenAI has now shared more technical details on its website.]

The first generative models that could produce video from snippets of text appeared in late 2022. But early examples from Meta , Google, and a startup called Runway were glitchy and grainy. Since then, the tech has been getting better fast. Runway’s gen-2 model, released last year, can produce short clips that come close to matching big-studio animation in their quality. But most of these examples are still only a few seconds long.  

The sample videos from OpenAI’s Sora are high-definition and full of detail. OpenAI also says it can generate videos up to a minute long. One video of a Tokyo street scene shows that Sora has learned how objects fit together in 3D: the camera swoops into the scene to follow a couple as they walk past a row of shops.

OpenAI also claims that Sora handles occlusion well. One problem with existing models is that they can fail to keep track of objects when they drop out of view. For example, if a truck passes in front of a street sign, the sign might not reappear afterward.  

In a video of a papercraft underwater scene, Sora has added what look like cuts between different pieces of footage, and the model has maintained a consistent style between them.

It’s not perfect. In the Tokyo video, cars to the left look smaller than the people walking beside them. They also pop in and out between the tree branches. “There’s definitely some work to be done in terms of long-term coherence,” says Brooks. “For example, if someone goes out of view for a long time, they won’t come back. The model kind of forgets that they were supposed to be there.”

Impressive as they are, the sample videos shown here were no doubt cherry-picked to show Sora at its best. Without more information, it is hard to know how representative they are of the model’s typical output.   

It may be some time before we find out. OpenAI’s announcement of Sora today is a tech tease, and the company says it has no current plans to release it to the public. Instead, OpenAI will today begin sharing the model with third-party safety testers for the first time.

In particular, the firm is worried about the potential misuses of fake but photorealistic video . “We’re being careful about deployment here and making sure we have all our bases covered before we put this in the hands of the general public,” says Aditya Ramesh, a scientist at OpenAI, who created the firm’s text-to-image model DALL-E .

But OpenAI is eyeing a product launch sometime in the future. As well as safety testers, the company is also sharing the model with a select group of video makers and artists to get feedback on how to make Sora as useful as possible to creative professionals. “The other goal is to show everyone what is on the horizon, to give a preview of what these models will be capable of,” says Ramesh.

To build Sora, the team adapted the tech behind DALL-E 3, the latest version of OpenAI’s flagship text-to-image model. Like most text-to-image models, DALL-E 3 uses what’s known as a diffusion model. These are trained to turn a fuzz of random pixels into a picture.

Sora takes this approach and applies it to videos rather than still images. But the researchers also added another technique to the mix. Unlike DALL-E or most other generative video models, Sora combines its diffusion model with a type of neural network called a transformer.

Transformers are great at processing long sequences of data, like words. That has made them the special sauce inside large language models like OpenAI’s GPT-4 and Google DeepMind’s Gemini . But videos are not made of words. Instead, the researchers had to find a way to cut videos into chunks that could be treated as if they were. The approach they came up with was to dice videos up across both space and time. “It’s like if you were to have a stack of all the video frames and you cut little cubes from it,” says Brooks.

The transformer inside Sora can then process these chunks of video data in much the same way that the transformer inside a large language model processes words in a block of text. The researchers say that this let them train Sora on many more types of video than other text-to-video models, varied in terms of resolution, duration, aspect ratio, and orientation. “It really helps the model,” says Brooks. “That is something that we’re not aware of any existing work on.”

“From a technical perspective it seems like a very significant leap forward,” says Sam Gregory, executive director at Witness, a human rights organization that specializes in the use and misuse of video technology. “But there are two sides to the coin,” he says. “The expressive capabilities offer the potential for many more people to be storytellers using video. And there are also real potential avenues for misuse.” 

OpenAI is well aware of the risks that come with a generative video model. We are already seeing the large-scale misuse of deepfake images . Photorealistic video takes this to another level.

Gregory notes that you could use technology like this to misinform people about conflict zones or protests. The range of styles is also interesting, he says. If you could generate shaky footage that looked like something shot with a phone, it would come across as more authentic.

The tech is not there yet, but generative video has gone from zero to Sora in just 18 months. “We’re going to be entering a universe where there will be fully synthetic content, human-generated content and a mix of the two,” says Gregory.

The OpenAI team plans to draw on the safety testing it did last year for DALL-E 3. Sora already includes a filter that runs on all prompts sent to the model that will block requests for violent, sexual, or hateful images, as well as images of known people. Another filter will look at frames of generated videos and block material that violates OpenAI’s safety policies.

OpenAI says it is also adapting a fake-image detector developed for DALL-E 3 to use with Sora. And the company will embed industry-standard C2PA tags , metadata that states how an image was generated, into all of Sora’s output. But these steps are far from foolproof. Fake-image detectors are hit-or-miss. Metadata is easy to remove, and most social media sites strip it from uploaded images by default.  

“We’ll definitely need to get more feedback and learn more about the types of risks that need to be addressed with video before it would make sense for us to release this,” says Ramesh.

Brooks agrees. “Part of the reason that we’re talking about this research now is so that we can start getting the input that we need to do the work necessary to figure out how it could be safely deployed,” he says.

Update 2/15: Comments from Sam Gregory were added .

Artificial intelligence

Ai for everything: 10 breakthrough technologies 2024.

Generative AI tools like ChatGPT reached mass adoption in record time, and reset the course of an entire industry.

What’s next for AI in 2024

Our writers look at the four hot trends to watch out for this year

  • Melissa Heikkilä archive page

Google’s Gemini is now in everything. Here’s how you can try it out.

Gmail, Docs, and more will now come with Gemini baked in. But Europeans will have to wait before they can download the app.

Deploying high-performance, energy-efficient AI

Investments into downsized infrastructure can help enterprises reap the benefits of AI while mitigating energy consumption, says corporate VP and GM of data center platform engineering and architecture at Intel, Zane Ball.

  • MIT Technology Review Insights archive page

Stay connected

Get the latest updates from mit technology review.

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at [email protected] with a list of newsletters you’d like to receive.

IEEE Account

  • Change Username/Password
  • Update Address

Purchase Details

  • Payment Options
  • Order History
  • View Purchased Documents

Profile Information

  • Communications Preferences
  • Profession and Education
  • Technical Interests
  • US & Canada: +1 800 678 4333
  • Worldwide: +1 732 981 0060
  • Contact & Support
  • About IEEE Xplore
  • Accessibility
  • Terms of Use
  • Nondiscrimination Policy
  • Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. © Copyright 2024 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.

IMAGES

  1. Ieee Format In Word : Overview Details Docear

    ieee research paper image processing

  2. Ieee Format For Paper Presentation Sample Free Download

    ieee research paper image processing

  3. IEEE Papers on Image Processing

    ieee research paper image processing

  4. IEEE Paper for Image Processing

    ieee research paper image processing

  5. Write your research paper in IEEE format

    ieee research paper image processing

  6. IEEE Paper Publication complete steps and proofs/How to publish an #

    ieee research paper image processing

VIDEO

  1. IEEE video

  2. ieee demo

  3. How to Download IEEE Research Paper Free By Prof Abhijit Kalbande

  4. Format Paper IEEE

  5. MeshReduce IEEE VR 24 Demo

  6. Research Journal Info: IEEE Transactions on Fuzzy Systems, IEEE

COMMENTS

  1. IEEE Transactions on Image Processing

    IEEE Transactions on Image Processing. null | IEEE Xplore. Need Help? US & Canada: +1 800 678 4333 Worldwide: +1 732 981 0060 Contact & Support

  2. Image Processing Technology Based on Machine Learning

    This paper introduces machine learning into image processing, and studies the image processing technology based on machine learning. This paper summarizes the current popular image processing technology, compares various image technology in detail, and explains the limitations of each image processing method.

  3. Digital Image Processing

    Abstract: In this paper we give a tutorial overview of the field of digital image processing. Following a brief discussion of some basic concepts in this area, image processing algorithms are presented with emphasis on fundamental techniques which are broadly applicable to a number of applications.

  4. Deep Learning-based Image Text Processing Research

    Abstract: Deep learning is a powerful multi-layer architecture that has important applications in image processing and text classification. This paper first introduces the development of deep learning and two important algorithms of deep learning: convolutional neural networks and recurrent neural networks.

  5. Research on Image Processing Technology of Computer ...

    Research on Image Processing Technology of Computer Vision Algorithm Abstract: With the gradual improvement of artificial intelligence technology, image processing has become a common technology and is widely used in various fields to provide people with high-quality services.

  6. IEEE Transactions on Image Processing

    IEEE Transactions on Image Processing focuses on signal-processing aspects of image processing, imaging systems, and image scanning, display, and printing. Read Full Aims & Scope Author Resources

  7. Research and implementation of a digital image processing ...

    Abstract: Digital image processing is an important course, which has strong theoretical and practical needs for students. This paper proposes a digital image processing education platform (DIPEP) based on C# and .NET framework. It has the image processing, analyzing and visualization function.

  8. Research on Image Processing System Based on Computer ...

    Abstract: This paper introduces the two-channel digital image processing technology. The system uses FPGA as its core processing unit. Infrared thermal imager and CCD camera were used for the shooting. The FPGA composed of programmable gate array realizes the pre-processing of the acquired image data and interacts with it.

  9. Ieee Transactions on Image Processing, Vol. , No. , September 2021 1 a

    Overall, our paper aims to provide a comprehensive evaluation framework which could demonstrate detailed inspections of the model robustness, and we hope that our paper can inspire further improvement to the model robustness. Index Terms—Adversarial examples, evaluation metrics, model robustness. I. INTRODUCTION D

  10. PDF IEEE TRANSACTIONS ON IMAGE PROCESSING, UNDER REVIEW, JULY 2023 1 Joint

    IEEE TRANSACTIONS ON IMAGE PROCESSING, UNDER REVIEW, JULY 2023 1 ... for scientific research. The goal is to reduce an image file size by permanently removing redundant data and less crit- ... then, finally, Section V concludes the paper. II. B. ACKGROUND AND. R. ELATED. W. ORKS. Over the past years, research has renewed interest in

  11. IEEE Transactions on Image Processing

    The IEEE Transactions on Image Processing covers novel theory, algorithms, and architectures for the formation, capture, processing, communication, analysis, and display of images, video, and multidimensional signals in a wide variety of applications.

  12. IEEE Transactions on Image Processing

    The IEEE Transactions on Image Processing covers novel theory, algorithms, and architectures for the formation, capture, processing, communication, analysis, and display of images, video, and multidimensional signals in a wide variety of applications.

  13. Image Processing on IEEE Technology Navigator

    Image Processing on IEEE Technology Navigator 218,548 resources related to Image Processing Related topics Optical Projectors Gabor filters Reconstruction algorithms Vision Sensors Image Forensics Time-frequency Analysis Multidimensional signal processing Video sequences Authentication Top Conferences on Image Processing

  14. IEEE TRANSACTIONS ON IMAGE PROCESSING, JAN. -, NO. -,

    IEEE TRANSACTIONS ON IMAGE PROCESSING, JAN. -, NO. -, - 2023 1 Deep Learning for Human Parsing: A Survey Xiaomei Zhang, Xiangyu Zhu, Senior Member, IEEE, Ming Tang, Member, IEEE, and Zhen Lei, Senior Member, IEEE Abstract—Human parsing is a key topic in image processing with many applications, such as surveillance analysis, human-

  15. Digital Signal and Image Processing Using Neural Networks

    The use of neural networks for the processing of one- and two-dimensional data is examined in this research. The activating function being crucial to network performance, is frequently disregarded. This function is typically one of the non-adaptive functions. Adaptive sigmoid or ReLU functions are frequently employed but they have drawbacks as they alter the overall outcomes when data from a ...

  16. Research on single-pixel imaging reconstruction algorithm ...

    Abstract: Single-pixel imaging (SPI) refers to the complete image obtained by processing and reconstructing the data acquired from the image, however, the traditional SPI reconstruction algorithm reconstructs the image with more detail texture missing and serious artifacts at low sampling rates. To address this problem, this paper proposes an SPI reconstruction algorithm based on residual in ...

  17. Ieee Transactions on Image Processing, Vol. Xx, No. Xx, Month Xx 1

    1106 ieee transactions on image processing, v ol. 13, no. 8, august 2004 Fig. 4. Edge representation through scale using DOG (levels 1, 4, and 7) and zero crossing detection.

  18. Underwater Resource Detection Using Image Processing

    The growing demand for marine resources makes underwater resource detection a significant topic of research. Image processing techniques show a lot of potential in detecting and mapping underwater resources such as marine creatures, minerals, and archaeological relics. This study describes a unique method for detecting underwater resources that employs the Haar Cascade Classifier with Contrast ...

  19. Synthetic Image Detection: Highlights from the IEEE Video and Image

    The Video and Image Processing (VIP) Cup is a student competition that takes place each year at the IEEE International Conference on Image Processing. The 2022 IEEE VIP Cup asked undergraduate students to develop a system capable of distinguishing pristine images from generated ones. The interest in this topic stems from the incredible advances in the AI-based generation of visual data, with ...

  20. Advances in image processing using machine learning techniques

    In 2012 she received Science and Technology Puebla State Award for her research work in electronics. She is the Associate Editor for IEEE Transactions on Circuits and Systems II: Express Briefs, IEEE Transactions on Circuits and Systems I: Regular Papers, IEEE Circuits and Systems Magazine, and IET Signal Processing.

  21. PDF IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 1 Robust

    bridges computer vision and natural language processing, ... image captioning," IEEE TIP, vol. 27, no. 11, pp. 5514-5524, 2018. ... He has authored more than ninety research papers in various journals and conference pro-ceedings. He has won the best paper awards

  22. 3D Modeling of Façade Elements Using Multi-View Images from Mobile

    Following the generation of 3D polygons for each façade element in each image, overlapping polygons across the entire set of multi-view images need to be identified. In this study, we employed the IoU metric (Tripodi et al. 2020) iteratively to detect instances of overlapping polygons as can be seen in. Figure 11 (a) .

  23. IEEE Transactions on Image Processing

    Need Help? US & Canada: +1 800 678 4333 Worldwide: +1 732 981 0060 Contact & Support

  24. Applied Sciences

    A drill-anchor robot is an essential means of efficient drilling and anchoring in coal-mine roadways. It is significant to calculate the position of the drill-anchor robot based on the positioning information of the supported anchor rod to improve tunneling efficiency. Therefore, identifying and positioning the supported anchor rod has become a critical problem that needs to be solved urgently ...

  25. OpenAI teases an amazing new generative video model called Sora

    OpenAI says it is also adapting a fake-image detector developed for DALL-E 3 to use with Sora. And the company will embed industry-standard C2PA tags , metadata that states how an image was ...

  26. 2022 IEEE International Conference on Image Processing (ICIP)

    Read all the papers in 2022 IEEE International Conference on Image Processing (ICIP) | IEEE Conference | IEEE Xplore