2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2011
DOI: 10.1109/icassp.2011.5946788
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Performance optimized predictor blending technique for lossless image coding

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Cited by 13 publications
(6 citation statements)
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“…Initially matrix R and vector p are equal to zero, inversion of R starts for n much higher than the predictor rank r, in our case in 100-th iteration, while r = 20 (r L = 10, r R = 10). The method was succesfully applied to lossless coding of images [17], [18].…”
Section: B Ols Methodsmentioning
confidence: 99%
“…Initially matrix R and vector p are equal to zero, inversion of R starts for n much higher than the predictor rank r, in our case in 100-th iteration, while r = 20 (r L = 10, r R = 10). The method was succesfully applied to lossless coding of images [17], [18].…”
Section: B Ols Methodsmentioning
confidence: 99%
“…In our case it is the 100-th iteration, as the optimal rank of OLS predictor appears to be r = 20 (r L = 10, r R = 10). Previously, the method was successfully applied to lossless coding of images [23], [24]. Computational complexity of OLS is clearly higher than that of any RLS algorithm, nevertheless, the used here predictor ranks are much smaller than those of the following NLMS filters, so this is not of great importance for the complexity of the whole method.…”
Section: B Ols Methodsmentioning
confidence: 99%
“…In the solution proposed here, which is an extension of the codec from work [16], the prediction order in the middle NLMS block has been increased from r = 25 to r = 380. Instead of the OLS block, an improved version of OLS+ has been introduced, whose simplified version has been successfully used earlier in lossless image compression [30,31].…”
Section: Ols+mentioning
confidence: 99%