2008
DOI: 10.1016/j.image.2008.05.006
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Spatio-chromatic decorrelation for color image compression

Abstract: We investigate the implications of a unified spatio-chromatic basis for image compression and reconstruction. Different adaptive and general methods (PCA, ICA, and DCT) are applied to generate bases. While typically such bases with spatial extent are investigated in terms of their correspondence to human visual perception, we are interested in their applicability to multimedia encoding. The performance of the extracted spatio-chromatic spatial patch bases is evaluated in terms of quality of reconstruction with… Show more

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Cited by 17 publications
(12 citation statements)
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“…It is defined as: ) ( MSE C log 10 PSNR 2 max 10 (7) where MSE denotes Mean Square Error which is given as: ) ( Many authors [39,42,81,82,83,84], consider C max =255 as a default value for 8-bit images. It can be the case, for instance, that the examined image has only up to 253 or fewer representations of gray colours.…”
Section: Analysis and Recommendationsmentioning
confidence: 99%
“…It is defined as: ) ( MSE C log 10 PSNR 2 max 10 (7) where MSE denotes Mean Square Error which is given as: ) ( Many authors [39,42,81,82,83,84], consider C max =255 as a default value for 8-bit images. It can be the case, for instance, that the examined image has only up to 253 or fewer representations of gray colours.…”
Section: Analysis and Recommendationsmentioning
confidence: 99%
“…The degree of spectral correlation is evident in the covariance matrix of the image channels and can be expressed with the correlation coefficient ρ as shown in Figure 3.13. Many authors use the principal component analysis (PCA) for spectral decorrelation [29,31,32,36,41,93]. However, an implementation is expensive in terms of complexity and execution time.…”
Section: Spectral Decorrelationmentioning
confidence: 99%
“…Robustness factor for the spatial domain steganography is also not very impressive. Some other algorithms related to this field & other image processing tasks like compression have been studied to get am good understanding [61][62][63][64].…”
Section: Kerchoff's Principlementioning
confidence: 99%