PERFORMANCE COMPARISION OF BLOCKING ARTIFACT REDUCTION OF COMPRESSED IMAGES USING BILATERAL & BLOCK WIENER FILTER

Abstract

Image compression is a very important issue for several applications in the area of multimedia communications, the objective being reduction of storage and transmission costs. Artifact is a particular class of data error that is usually the consequence of quantization in lossy image compression and often a result of the latent errors inherent in lossy compression. There are different types of artifacts present however effect of blocking artifact is more. Block Wiener filter is a class of optimum linear filter which involve linear estimation of a desired signal sequence from another related sequence and combine with shift weighted average operation. A Bilateral filter depends on the combination of two parameters intensity and spatial distance. Both bilateral and wiener filter is based on enhancement algorithm. The computation of SSIM and PSNR values of de-blocking image after the application of two novel filter can be used to compare filter response for the reduction of blocking artifact.