A Decade of Research for Image Compression In Multimedia Laboratory

TL;DR

This paper reviews a decade of research on image compression techniques, especially variable resolution methods that optimize data storage and transfer by mimicking human visual focus, across images, videos, and 3D data.

Contribution

It provides a comprehensive overview of the evolution and application of variable resolution techniques in multimedia compression over ten years.

Findings

Variable resolution improves compression efficiency by focusing on regions of interest.

Research has expanded from images to videos and 3D motion data.

The technique aligns with human visual perception for better quality.

Abstract

With the advancement of technology, we have supercomputers with high processing power and affordable prices. In addition, using multimedia expanded all around the world. This caused a vast use of images and videos in different fields. As this kind of data consists of a large amount of information, there is a need to use compression methods to store, manage or transfer them better and faster. One effective technique, which was introduced is variable resolution. This technique stimulates human vision and divides regions in pictures into two different parts, including the area of interest that needs more detail and periphery parts with less detail. This results in better compression. The variable resolution was used for image, video, and 3D motion data compression. This paper investigates the mentioned technique and some other research in this regard.