Test image 11

Blur kernel =        Noise level = 2% Mouse over the following links to flip between images By default, our result is shown MAP estimate - fixed sparse gradient prior, PSNR : 27.920943, SSIM : 0.826355 MAP estimate - adjusted sparse gradient prior, PSNR : 26.548339, SSIM : 0.792887 Degraded image Original image Gradient distribution User study result

Ours PSNR : 26.392641, SSIM : 0.788185

Mouse over the following links to flip between images By default, our result is shown MAP estimate - sparse gradient prior, PSNR : 27.920943, SSIM : 0.826355 MAP estimate - adjusted sparse gradient prior, PSNR : 26.548339, SSIM : 0.792887 Degraded image Original image Gradient distribution User study result

Test image 12

Blur kernel =        Noise level = 2% Mouse over the following links to flip between images By default, our result is shown MAP estimate - fixed sparse gradient prior, PSNR : 26.739009, SSIM : 0.793374 MAP estimate - adjusted sparse gradient prior, PSNR : 26.243781, SSIM : 0.770590 Degraded image Original image Gradient distribution User study result

Ours PSNR : 26.356928, SSIM : 0.776249

Mouse over the following links to flip between images By default, our result is shown MAP estimate - sparse gradient prior, PSNR : 26.739009, SSIM : 0.793374 MAP estimate - adjusted sparse gradient prior, PSNR : 26.243781, SSIM : 0.770590 Degraded image Original image Gradient distribution User study result