Post-Processing Deblocking Technique for Reduction of Blocking Artifacts

Image compression is a challenging problem that degrades the quality of an image. In last few decades, several post-processing methods/techniques have been designed for the removal of blocking artifacts. However, these techniques generated satisfactory results but it cannot maintain the perceptual quality of reconstructed images. Moreover, blocking artifacts destroy the quality of an image and information in reconstructed image that totally different from original image. In this paper, a deblocking technique has been proposed to alleviates different kinds of artifacts such as grid noise, stair noise, ringing artifacts, blurring artifacts and corner outliers and maintain an important information of reconstructed images. The efficiency of novel post-processing technique is measured on the bases of Peak Signal to Noise Ratio including Blocking Effects (PSNR-B), Structural Similarity Index (SSIM) and Mean Opinion Score (MOS). According to Experimental results, the proposed method demonstrates better performance as compared to existing method in terms of various parameters at different bit rates.