TAILIEUCHUNG - Báo cáo hóa học: "Research Article Are the Wavelet Transforms the Best Filter Banks for Image Compression?"

Tham khảo luận văn - đề án 'báo cáo hóa học: "research article are the wavelet transforms the best filter banks for image compression?"', luận văn - báo cáo phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2008 Article ID 287197 7 pages doi 2008 287197 Research Article Are the Wavelet Transforms the Best Filter Banks for Image Compression Ilangko Balasingham1 2 and Tor A. Ramstad2 1 Interventional Center Rikshospitalet University Hospital Oslo 0027 Norway 2 Department of Electronics and Telecommunications Norwegian University of Science and Technology NTNU Trondheim 7491 Norway Correspondence should be addressed to Ilangko Balasingham ilangkob@ Received 22 October 2007 Accepted 6 January 2008 Recommended by James Fowler Maximum regular wavelet filter banks have received much attention in the literature and it is a general conception that they enjoy some type of optimality for image coding purposes. To investigate this claim this article focuses on one particular biorthogonal wavelet filter bank namely the 2-channel 9 7. As a comparison we generate all possible 9 7 filter banks with perfect reconstruction and linear phase while having a different number of zeros at z -1 for both analysis and synthesis lowpass filters. The best performance is obtained when the filter bank has 2 2 zeros at z -1 for the analysis and synthesis lowpass filters respectively. The competing wavelet 9 7 filter bank which has 4 4 zeros at z -1 is thus judged inferior both in terms of objective error measurements and informal visual inspections. It is further shown that the 9 7 wavelet filter bank can be obtained using gain-optimized 9 7 filter bank. Copyright 2008 I. Balasingham and T. A. Ramstad. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION The transform is one of three major building blocks in waveform image compression systems where quantization and coding are the two other blocks. It has been stated in the .

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