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http://dx.doi.org/10.5762/KAIS.2019.20.2.20

A study on color image compression using downscaling method and subsampling method  

Lee, Wan-Bum (Deptartment of Computer.Software Engineering, Wonkwang University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.20, no.2, 2019 , pp. 20-25 More about this Journal
Abstract
Most multimedia signals contain image data, so the problem of efficient processing and transmitting the image data is an important task of the information society. This paper proposes a compression algorithm that reduces the color bits according to importance using YUV color space among the various methods of compressing image data. 4: 2: 2 subsampling is the standard in the field of video. Using the color information and the characteristics of the human retina, YUV color data was reduced by 4: 2: 2 subsampling. The YUV images and RGB images can be interconverted using the transformation matrix. The image data was converted into color space by YUV, and the relatively low U and V bits were subjected to a downscaling operation. The data was then compressed through 4: 2: 2 subsampling. The performance of the proposed algorithm was compared and analyzed by a comparison with existing methods. As a result of the analysis, it was possible to compress the image without reducing the information of the low importance color element and without significant deterioration in the quality compared to the original.
Keywords
Image Processing; Reduce Color; 4:2:2 subsampling; 6:4:4 downscaling; YUV color;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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