Restoration of lossy compressed noisy images

Noise degrades the performance of any image compression algorithm. However, at very low bit rates, image coders effectively filters noise that may be present in the image, thus, enabling the coder to operate closer to the noi se free case. Unfortunately, at these low bit rates the quality of the comp ressed image is reduced and very distinctive coding artifacts occur. This p aper proposes a combined restoration of the compressed image from both the artifacts introduced by the coder along with the additive noise. The propos ed approach is applied to images corrupted by data-dependent Poisson noise and to images corrupted by film-grain noise when compressed using a block-t ransform-coder such as JPEG. This approach has proved to be effective in te rms of visual quality and peak signal-to-noise ratio (PSNR) when tested on simulated and real images.