JPEG Pleno aims to provide a standard framework for representing new imaging modalities, such as texture-plus-depth, light field, point cloud, and holographic imaging. Such imaging should be understood as light representations inspired by the plenoptic function, regardless of which model captured or created all or part of the content. JPEG Pleno standard tools will be designed together to […]
The purpose of the Advanced Image Coding and Evaluations work is to locate and evaluate new scientific developments and advancements in image coding research. Relevant topics include new compression methodologies and quality evaluation methodologies and procedures. The work of the JPEG AIC project produced a technical report, Guidelines for image coding system evaluation in ISO/IEC TR 29170-1:2017
The scope of JPEG AI is the creation of a learning-based image coding standard offering a single-stream, compact compressed domain representation, targeting both human visualization, with significant compression efficiency improvement over image coding standards in common use at equivalent subjective quality, and effective performance for image processing and computer vision tasks, with the goal of
Light field coding has been extensively researched in the last few years. A wide range of light field coding solutions have been proposed, from well-known, off-the-shelf standard codecs, to those specially designed for light field data. These methods aim to exploit the huge amount of redundant information about the light rays in the same scene
Second workshop on learning-based light field coding Read More »
After months of looking for volunteers to do the job, during our last NMC meeting, Prof. Zargari stepped up and in a short time, provided an outstanding Farsi translation for ITTC-SC 29 website. Kudos to him and other volunteers who make every effort to make SC 29 activities available to a larger number of experts
At last, ITTC-SC29’s Website Got a Farsi Face! Read More »
