Adaptive modulated wavelet subband image coding
Pattern Recognition Letters
Similarity Matches of Gene Expression Data Based on Wavelet Transform
SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis
Image similarity comparison using dual-tree wavelet transform
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
Hi-index | 0.01 |
We present a region adaptive subband image coding scheme using the statistical properties of image subbands for various subband decompositions. Motivated by analytical results obtained when the input signal to the subband decomposition is a unit step function, we analyze the energy packing properties toward the lower frequency subbands, edges, and the dependency of energy distribution on the orientation of the edges, in subband decomposed images. Based on these investigations and ideal analysis/synthesis filtering done in the frequency domain, the region adaptive subband image coding scheme extracts suitably shaped regions in each subband and then uses adaptive entropy-constrained quantizers for different regions under the assumption of a generalized Gaussian distribution for the image subbands. We also address the problem of determining an optimal subband decomposition among all possible decompositions. Experimental results show that visual degradations in the reconstructed image are negligible at a bit rate of 1.0 b/pel and reasonable quality images are obtainable at rates as low as 0.25 b/pel