Deblocking of Gray Scale Images and Videos Using 3D Spatial Filtering

Abstract

Digital images are compressed at high compression ratios for storage and communication purposes and are thereby affected by visual blocking artifact. Various filtering techniques are available for reducing the visual blocking artifact of compressed images. In this paper, a 3D spatial filter which uses a negative like image of the image to be deblocked to reduce the compression artifact of the compressed image. The Mean Structural Similarity Index Measure (MSSIM) and Peak Signal to Noise Ratio (PSNR) are used in this paper to assess the quality of the restored images. The results obtained show that these techniques effectively remove the compression artifact from the compressed digital images.

Artifacts Removal of Compressed Digital Images by Linear Enhancement and Filtering

“…Filtering strength and window size can be varied [4] in the filtering operation to achieve better quality image. In 3D spatial filter [9], negative of the compressed image is used for the filtering operation to remove compression artifacts. Total Variation minimization technique is also used by researchers in various applications to remove the compression artifacts.…”