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Stanford EE 368 - Comparison Study on the Performance

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Comparison Study on the Performance of Critically Sampled Pyramid vs. Over-Complete PyramidOverviewMultiresolution and Pyramid CodingCritically Sampled PyramidOversampled PyramidChoosing the FiltersBit AllocationComparison of Rate-distortion PerformanceScalabilityNumber of LayersConclusionsSangeun Han and Yi LiangDec. 4, 2000Comparison Study on the Performance of Critically Sampled Pyramid vs. Over-Complete PyramidEE 368B Project Sangeun Han and Yi LiangOverviewIntroduction of multiresolution and pyramid codingCritically sampled and overcomplete pyramidsBit allocation and quantizationComparison and resultsEE 368B Project Sangeun Han and Yi LiangMultiresolution and Pyramid Codingr=0.09, 0.23, 0.60, 1.00 bppMultiresolution offers excellent coding efficiency.Multiresolution supports scalability.EE 368B Project Sangeun Han and Yi LiangCritically Sampled PyramidH1H022H1H022QQQ22G1G02+2G1G0+InputRecon.ChannelOctave subband codingOriginal Image Decomp. SubbandsEE 368B Project Sangeun Han and Yi LiangOversampled PyramidEE 368B Project Sangeun Han and Yi LiangChoosing the FiltersChoosing filters10152025303540450 1 2 3 4 5Rate [bpp]PSNR [dB]GaussianDecimate/Interp.Avg./BilinearEE 368B Project Sangeun Han and Yi LiangBit AllocationAnalytical formCritically sampled, open-loop oversampledThe “greedy” algorithmMnkkkklllllkngngMRr/222)/(/log21Close-loop oversampled,00,log211021122lrnRlggrLlllllllll , 111111,10,llllllllllllnnnnnnnnnnn where.constdrndDlllEE 368B Project Sangeun Han and Yi LiangComparison of Rate-distortion PerformanceR-D performance comparison101520253035404550550 1 2 3 4 5Rate [bpp]PSNR [dB]Oversampled open-loop, greedy bit alloc.Oversampled open-loop, analytical bitalloc.Oversampled close-loop, L=5Critially sampled,analytical bit alloc.Critically sampled,greedy bit alloc.In general, critically sampled outperforms oversampled in terms of rate-distortion. Reason: oversampling.EE 368B Project Sangeun Han and Yi LiangScalabilityCritically sampled OvercompletePSNR = 28.4 dBPSNR = 25.8 dBPSNR = 28.4 dBPSNR = 22.8 dBPSNR = 27.2 dB PSNR = 27.2 dBPSNR = 23.8 dB PSNR = 20.9 dBEE 368B Project Sangeun Han and Yi LiangNumber of LayersR-D performance by using different number of levels, open-loop oversampled10152025303540450 1 2 3 4 5Rate [bpp]PSNR [dB]L=2L=3L=4L=5L=6R-D performance by using different number of levels, critically sampled101520253035404550550 1 2 3 4 5Rate [bpp]PSNR [dB]L=2L=3L=4L=5L=6Critically sampled OvercompleteEE 368B Project Sangeun Han and Yi LiangConclusionsCritically sampled pyramid outperforms the over-complete pyramid in terms of rate-distortion.Coarse images from overcomplete pyramids show better subjective quality.Other features of overcomplete pyramid: lower complexity, freedom in choosing filters, control of quantization


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Stanford EE 368 - Comparison Study on the Performance

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