Supplementary results for Neel Joshi's Dissertation, Chapter 5

Please mouse over (but don't click!) the colored underlined link to blink between our result and one of the other results or inputs.

Jump to specific results: Deblurring, Upsampling, and Denoising

SIGGRAPH, noise std. dev. = 0.01

PSF (enlarged)	Compare ours our result, PSNR=32.21 to: blurred/noisy (noise sigma=0.01) lucy richardson, PSNR=25.93 sparse prior (levin et al.), PSNR=29.44 groundtruth	blurred/noisy (noise sigma=0.01)	lucy richardson, PSNR=25.93	sparse prior (levin et al.), PSNR=29.44	our result, PSNR=32.21	groundtruth

Peppers, noise std. dev. = 0.01

PSF (enlarged)	Compare ours our result, PSNR=32.49 to: blurred/noisy (noise sigma=0.01) lucy richardson, PSNR=30.17 sparse prior (levin et al.), PSNR=32.25 groundtruth	blurred/noisy (noise sigma=0.01)	lucy richardson, PSNR=30.17	sparse prior (levin et al.), PSNR=32.25	our result, PSNR=32.49	groundtruth

Three Colors Meeting at a point

PSF (enlarged)	Compare ours our result, PSNR=39.83 to: blurred/noisy (noise sigma=0.01) lucy richardson, PSNR=28.69 sparse prior (levin et al.), PSNR=35.48 groundtruth	blurred/noisy (noise sigma=0.01)	lucy richardson, PSNR=28.69	sparse prior (levin et al.), PSNR=35.48	our result, PSNR=39.83	groundtruth

Sinusoidal Pattern

PSF (enlarged)	Compare ours our result, PSNR=18.22 to: blurred/noisy (noise sigma=0.01) lucy richardson, PSNR=16.63 sparse prior (levin et al.), PSNR=17.14 groundtruth	blurred/noisy (noise sigma=0.01)	lucy richardson, PSNR=16.63	sparse prior (levin et al.), PSNR=17.14	our result, PSNR=18.22	groundtruth

Deblurring results: real images

Tour de France Map

PSF (enlarged)	Compare ours to: blurred, LR, sparse	blurry/noisy image	Lucy Richardson	sparse prior [Levin et. al]	our local two color model

Dragon

PSF (enlarged)	Compare ours to: blurred, LR, sparse	blurry/noisy image	Lucy Richardson	sparse prior [Levin et. al]	our local two color model

Sweater

PSF (enlarged)	Compare ours to: blurred, LR, sparse	blurry/noisy image	Lucy Richardson	sparse prior [Levin et. al]	our local two color model

Fountain

PSF (enlarged)	Compare ours our result to: original blurred image lucy richardson sparse prior (levin et al.)	original blurred image	lucy richardson	sparse prior (levin et al.)	our result

Child's face

Quarter size image	Compare ours to: bicubic, Fattal, sparse, original	bicubic	[Fattal 2007]	sparse prior (using [Levin et. al]'s prior in our up-sampling deconvolution framework)	our local two color model	original image

Statue

Quarter size image	Compare ours to: bicubic, Fattal, sparse	bicubic	[Fattal 2007]	sparse prior (using [Levin et. al]'s prior in our up-sampling deconvolution framework)	our local two color model

100075 noise level = 5%

Compare ours using two color prior, PSNR=32.34.png to: noisy sparse denoising, PSNR=32.35.png 0th order MRF (Liu et al.), PSNR=31.69.jpg 1st order MRF (Liu et al.), PSNR=31.68.jpg wavelet, PSNR=31.27.jpg groundtruth	noisy	sparse denoising, PSNR=32.35.png	0th order MRF (Liu et al.), PSNR=31.69.jpg	1st order MRF (Liu et al.), PSNR=31.68.jpg	wavelet, PSNR=31.27.jpg	groundtruth

22013 noise level = 5%

Compare ours using two color prior, PSNR=32.57.png to: noisy sparse denoising, PSNR=32.49.png 0th order MRF (Liu et al.), PSNR=32.17.jpg 1st order MRF (Liu et al.), PSNR=32.33.jpg wavelet, PSNR=31.31.jpg groundtruth	noisy	sparse denoising, PSNR=32.49.png	0th order MRF (Liu et al.), PSNR=32.17.jpg	1st order MRF (Liu et al.), PSNR=32.33.jpg	wavelet, PSNR=31.31.jpg	groundtruth

134052 noise level = 5%

Compare ours using two color prior, PSNR=33.02.png to: noisy sparse denoising, PSNR=33.01.png 0th order MRF (Liu et al.), PSNR=32.58.jpg 1st order MRF (Liu et al.), PSNR=32.88.jpg wavelet, PSNR=32.09.jpg groundtruth	noisy	sparse denoising, PSNR=33.01.png	0th order MRF (Liu et al.), PSNR=32.58.jpg	1st order MRF (Liu et al.), PSNR=32.88.jpg	wavelet, PSNR=32.09.jpg	groundtruth

23084 noise level = 5%

Compare ours using two color prior, PSNR=33.10.png to: noisy sparse denoising, PSNR=33.00.png 0th order MRF (Liu et al.), PSNR=32.04.jpg 1st order MRF (Liu et al.), PSNR=32.64.jpg wavelet, PSNR=32.14.jpg groundtruth	noisy	sparse denoising, PSNR=33.00.png	0th order MRF (Liu et al.), PSNR=32.04.jpg	1st order MRF (Liu et al.), PSNR=32.64.jpg	wavelet, PSNR=32.14.jpg	groundtruth

35008 noise level = 5%

Compare ours using two color prior, PSNR=35.69.png to: noisy sparse denoising, PSNR=35.89.png 0th order MRF (Liu et al.), PSNR=34.84.jpg 1st order MRF (Liu et al.), PSNR=35.97.jpg wavelet, PSNR=35.74.jpg groundtruth	noisy	sparse denoising, PSNR=35.89.png	0th order MRF (Liu et al.), PSNR=34.84.jpg	1st order MRF (Liu et al.), PSNR=35.97.jpg	wavelet, PSNR=35.74.jpg	groundtruth

113009 noise level = 5%

Compare ours using two color prior, PSNR=33.55.png to: noisy sparse denoising, PSNR=33.61.png 0th order MRF (Liu et al.), PSNR=32.31.jpg 1st order MRF (Liu et al.), PSNR=32.61.jpg wavelet, PSNR=32.89.jpg groundtruth	noisy	sparse denoising, PSNR=33.61.png	0th order MRF (Liu et al.), PSNR=32.31.jpg	1st order MRF (Liu et al.), PSNR=32.61.jpg	wavelet, PSNR=32.89.jpg	groundtruth

65010 noise level = 5%

Compare ours using two color prior, PSNR=32.42.png to: noisy sparse denoising, PSNR=32.26.png 0th order MRF (Liu et al.), PSNR=31.99.jpg 1st order MRF (Liu et al.), PSNR=32.18.jpg wavelet, PSNR=30.95.jpg groundtruth	noisy	sparse denoising, PSNR=32.26.png	0th order MRF (Liu et al.), PSNR=31.99.jpg	1st order MRF (Liu et al.), PSNR=32.18.jpg	wavelet, PSNR=30.95.jpg	groundtruth

105053 noise level = 5%

Compare ours using two color prior, PSNR=34.57.png to: noisy sparse denoising, PSNR=34.79.png 0th order MRF (Liu et al.), PSNR=33.77.jpg 1st order MRF (Liu et al.), PSNR=34.02.jpg wavelet, PSNR=34.01.jpg groundtruth	noisy	sparse denoising, PSNR=34.79.png	0th order MRF (Liu et al.), PSNR=33.77.jpg	1st order MRF (Liu et al.), PSNR=34.02.jpg	wavelet, PSNR=34.01.jpg	groundtruth

108073 noise level = 5%

Compare ours using two color prior, PSNR=32.65.png to: noisy sparse denoising, PSNR=32.49.png 0th order MRF (Liu et al.), PSNR=31.94.jpg 1st order MRF (Liu et al.), PSNR=31.98.jpg wavelet, PSNR=31.48.jpg groundtruth	noisy	sparse denoising, PSNR=32.49.png	0th order MRF (Liu et al.), PSNR=31.94.jpg	1st order MRF (Liu et al.), PSNR=31.98.jpg	wavelet, PSNR=31.48.jpg	groundtruth

100075 noise level = 10%

Compare ours using two color prior, PSNR=28.76.png to: noisy sparse denoising, PSNR=28.50.png 0th order MRF (Liu et al.), PSNR=28.14.jpg 1st order MRF (Liu et al.), PSNR=28.96.jpg wavelet, PSNR=28.31.jpg groundtruth	noisy	sparse denoising, PSNR=28.50.png	0th order MRF (Liu et al.), PSNR=28.14.jpg	1st order MRF (Liu et al.), PSNR=28.96.jpg	wavelet, PSNR=28.31.jpg	groundtruth

22013 noise level = 10%

Compare ours using two color prior, PSNR=28.02.png to: noisy sparse denoising, PSNR=27.52.png 0th order MRF (Liu et al.), PSNR=27.14.jpg 1st order MRF (Liu et al.), PSNR=28.84.jpg wavelet, PSNR=27.12.jpg groundtruth	noisy	sparse denoising, PSNR=27.52.png	0th order MRF (Liu et al.), PSNR=27.14.jpg	1st order MRF (Liu et al.), PSNR=28.84.jpg	wavelet, PSNR=27.12.jpg	groundtruth

134052 noise level = 10%

Compare ours using two color prior, PSNR=28.97.png to: noisy sparse denoising, PSNR=28.14.png 0th order MRF (Liu et al.), PSNR=28.61.jpg 1st order MRF (Liu et al.), PSNR=29.55.jpg wavelet, PSNR=28.20.jpg groundtruth	noisy	sparse denoising, PSNR=28.14.png	0th order MRF (Liu et al.), PSNR=28.61.jpg	1st order MRF (Liu et al.), PSNR=29.55.jpg	wavelet, PSNR=28.20.jpg	groundtruth

23084 noise level = 10%

Compare ours using two color prior, PSNR=27.96.png to: noisy sparse denoising, PSNR=27.18.png 0th order MRF (Liu et al.), PSNR=27.05.jpg 1st order MRF (Liu et al.), PSNR=29.23.jpg wavelet, PSNR=27.24.jpg groundtruth	noisy	sparse denoising, PSNR=27.18.png	0th order MRF (Liu et al.), PSNR=27.05.jpg	1st order MRF (Liu et al.), PSNR=29.23.jpg	wavelet, PSNR=27.24.jpg	groundtruth

35008 noise level = 10%

Compare ours using two color prior, PSNR=32.27.png to: noisy sparse denoising, PSNR=32.15.png 0th order MRF (Liu et al.), PSNR=30.24.jpg 1st order MRF (Liu et al.), PSNR=33.27.jpg wavelet, PSNR=31.23.jpg groundtruth	noisy	sparse denoising, PSNR=32.15.png	0th order MRF (Liu et al.), PSNR=30.24.jpg	1st order MRF (Liu et al.), PSNR=33.27.jpg	wavelet, PSNR=31.23.jpg	groundtruth

113009 noise level = 10%

Compare ours using two color prior, PSNR=30.05.png to: noisy sparse denoising, PSNR=29.87.png 0th order MRF (Liu et al.), PSNR=28.89.jpg 1st order MRF (Liu et al.), PSNR=30.19.jpg wavelet, PSNR=29.91.jpg groundtruth	noisy	sparse denoising, PSNR=29.87.png	0th order MRF (Liu et al.), PSNR=28.89.jpg	1st order MRF (Liu et al.), PSNR=30.19.jpg	wavelet, PSNR=29.91.jpg	groundtruth

65010 noise level = 10%

Compare ours using two color prior, PSNR=27.63.png to: noisy sparse denoising, PSNR=27.05.png 0th order MRF (Liu et al.), PSNR=27.18.jpg 1st order MRF (Liu et al.), PSNR=28.41.jpg wavelet, PSNR=26.73.jpg groundtruth	noisy	sparse denoising, PSNR=27.05.png	0th order MRF (Liu et al.), PSNR=27.18.jpg	1st order MRF (Liu et al.), PSNR=28.41.jpg	wavelet, PSNR=26.73.jpg	groundtruth

105053 noise level = 10%

Compare ours using two color prior, PSNR=31.59.png to: noisy sparse denoising, PSNR=31.72.png 0th order MRF (Liu et al.), PSNR=30.63.jpg 1st order MRF (Liu et al.), PSNR=31.95.jpg wavelet, PSNR=31.41.jpg groundtruth	noisy	sparse denoising, PSNR=31.72.png	0th order MRF (Liu et al.), PSNR=30.63.jpg	1st order MRF (Liu et al.), PSNR=31.95.jpg	wavelet, PSNR=31.41.jpg	groundtruth

108073 noise level = 10%

Compare ours using two color prior, PSNR=28.73.png to: noisy sparse denoising, PSNR=27.92.png 0th order MRF (Liu et al.), PSNR=28.33.jpg 1st order MRF (Liu et al.), PSNR=29.21.jpg wavelet, PSNR=27.94.jpg groundtruth	noisy	sparse denoising, PSNR=27.92.png	0th order MRF (Liu et al.), PSNR=28.33.jpg	1st order MRF (Liu et al.), PSNR=29.21.jpg	wavelet, PSNR=27.94.jpg	groundtruth