期刊名称:Journal of Theoretical and Applied Information Technology
印刷版ISSN:1992-8645
电子版ISSN:1817-3195
出版年度:2012
卷号:42
期号:2
页码:191-195
出版社:Journal of Theoretical and Applied
摘要:When working with color images, many processing algorithms and procedures can perform separation of pixel values into their luminance and chrominance components .This paper presents a new approach to compress the luminance and chrominance components using lossy and lossless Binary Plane Techniques respectively. The results are compared with the compression applied directly on RGB image using lossy and lossless Binary Plane Technique.
关键词:Lossy and Loss less Binary Plane Techniques; luminance; chrominance; Mean Square Error (MSE); Peak Signal to Noise Ratio (PSNR)