Image Compression using Phase Diversity of Synthesis Filters
نویسنده
چکیده
This paper presents enhancement of image reconstruction by comprehensively exploiting the phase diversity of adaptive synthesis filter bank. A novel approach of selection of synthesis delay filters in various reconstruction groups and possible placing configurations of optimal groups in adaptive synthesis filter bank have been explored. In contrast with linear phase synthesis filters, synthesis section is built with a set of filters, where each filter has different phase characteristics. Such adaptive formation of synthesis filter bank when employed in image compression shows optimal improvements in MSE/ PSNR over conventional filter bank.
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