Review and evaluation of color spaces for image/video compression

被引：36

作者：

Kahu, Samruddhi Y. ^{[1
]}

Raut, Rajesh B. ^{[2
]}

Bhurchandi, Kishor M. ^{[1
]}

机构：

[1] Visvesvaraya Natl Inst Technol, South Ambazari Rd, Nagpur 440010, Maharashtra, India

[2] Shri Ramdeobaba Coll Engn & Management, Nagpur, Maharashtra, India

来源：

COLOR RESEARCH AND APPLICATION | 2019年 / 44卷 / 01期

关键词：

CIE L*a*b*; color spaces; color spaces' review and benchmarking; image and video compression; imaging; quantitative analysis; IMAGE RETRIEVAL; VIDEO; SEGMENTATION; QUANTIZATION; QUALITY; RGB;

D O I：

10.1002/col.22291

中图分类号：

O69 [应用化学];

学科分类号：

081704 ;

摘要：

A color space plays an important role in color image processing and color vision applications. While compressing images/videos, properties of the human visual system are used to remove image details unperceivable by the human eye, appropriately called psychovisual redundancies. This is where the effect of the color spaces' properties on compression efficiency is introduced. In this work, we study the suitability of various color spaces for compression of images and videos. This review work is undertaken in two stages. Initially, a comprehensive review of the published color spaces is done. These color spaces are classified and their advantages, limitations, and applications are also highlighted. Next, the color spaces are quantitatively analyzed and benchmarked in the perspective of image and video compression algorithms, to identify and evaluate crucial color space parameters for image and video compression algorithms.

引用

页码：8 / 33

页数：26