Image and Video Coding Technology

Dear Colleagues,

In recent years, deep image/video coding technologies represented by deep learning have significantly outperformed traditional image/video coding formats such as JPEG and HEVC in terms of human perception and machine vision tasks. The coding quality of images/videos depends on various quality evaluation metrics, and novel perceptual metrics have led to higher requirements for image and video compression. At the same time, the development of large-scale foundation models has provided good data priors for image and video compression, creating possibilities for further enhancing the machine vision accuracy of image/video coding. However, for practical application deployment, designing low-latency and low-complexity image/video coding algorithms is still a key problem to be solved.

In this context, for this Special Issue entitled “Image and Video Coding Technology”, we invite original research and comprehensive reviews on, but not limited to, the following:

• Advances in perceptual image/video coding;
• Advances in lossy and lossless image/video coding;
• Advances in point cloud coding;
• Advances in machine vision-oriented image/video coding;
• Advances in image/video compressive sensing;
• Reinforcement learning and game theory for image/video coding;
• Real-time video encoding;
• Scalable Video Coding (SVC);
• Enabling technologies for high-performance video coding;
• Video coding for mobile communication;
• Rate distortion theory for lossy image/video coding.

Dr. Bin Chen
Dr. Shuhan Qi
Dr. Yaowei Wang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.