Test image 1

Blur kernel =        Noise level = 7% Mouse over the following links to flip between images By default, our result is shown MAP estimate - fixed sparse gradient prior, PSNR : 24.886143, SSIM : 0.847399 MAP estimate - adjusted sparse gradient prior, PSNR : 24.860076, SSIM : 0.840917 Degraded image Original image Gradient distribution User study result

Ours PSNR : 25.021037, SSIM : 0.857221

Mouse over the following links to flip between images By default, our result is shown MAP estimate - sparse gradient prior, PSNR : 24.886143, SSIM : 0.847399 MAP estimate - adjusted sparse gradient prior, PSNR : 24.860076, SSIM : 0.840917 Degraded image Original image Gradient distribution User study result

Test image 13

Blur kernel =        Noise level = 7% Mouse over the following links to flip between images By default, our result is shown MAP estimate - fixed sparse gradient prior, PSNR : 27.999888, SSIM : 0.701217 MAP estimate - adjusted sparse gradient prior, PSNR : 27.546742, SSIM : 0.678154 Degraded image Original image Gradient distribution User study result

Ours PSNR : 27.701415, SSIM : 0.693052

Mouse over the following links to flip between images By default, our result is shown MAP estimate - sparse gradient prior, PSNR : 27.999888, SSIM : 0.701217 MAP estimate - adjusted sparse gradient prior, PSNR : 27.546742, SSIM : 0.678154 Degraded image Original image Gradient distribution User study result