期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN:2277-6451
电子版ISSN:2277-128X
出版年度:2012
卷号:2
期号:7
出版社:S.S. Mishra
摘要:Stereoscopic compression can be achieved by either compression across both views simultaneously, or independently compressing the left and right views separately [Compression algorithms can be divided into two d istinct categories. They are either lossless or lossy. Lossless algorithms do not cha nge the content of the file, so if you compress and decompress a file it will not be changed . Lossy algorithms, such as JPEG, are able to achieve a better compression ratio by selectively getting rid of some of the information within the file. Due to the better compression ratio, in this research more interest is shown in lossy algorithms, such as JPEG. The question of how much compression to apply to an stereo image pair before the resulting image becomes noticea bly lower from the original is investigated. Most quality models for stereoscopic presentations are dedicated to measuring quality degradation caused by compression art ifacts. However, non-compression distortions induced during acquisition and presentation usually have significant influence on 3D viewing experience. . In this paper I wish to illustrate the matrices which are used to measure the stereo image compression quality.
关键词:Stereo images; Symmetric; asymmetric compression; quality matrices. Human issues