Lossy compression of color images based on color spaces

In this study, the effects of different color spaces on compression performance, when lossy compression is applied to a color image, were discussed. RGB, HSV, YIQ, CMYK and YCbCr color spaces were used in the system. DCT was applied to provide energy loss or k-means clustering was applied to reduce...

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Bibliographic Details
Main Authors: Boke, S B, Diri, B, Yavuz, Z K
Format: Conference Proceeding
Language:English
Subjects:
Biomedical imaging
Discrete cosine transforms
Entropy
Image coding
Image color analysis
Signal to noise ratio
Online Access:Request full text
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Summary:In this study, the effects of different color spaces on compression performance, when lossy compression is applied to a color image, were discussed. RGB, HSV, YIQ, CMYK and YCbCr color spaces were used in the system. DCT was applied to provide energy loss or k-means clustering was applied to reduce the number of colors to each image in different color spaces. Those two lossy compression approaches were followed by a lossless compression approach, called Entropy coding. Finally experimental results were given for comparison.
ISSN:2165-0608
2693-3616
DOI:10.1109/SIU.2010.5653656