No-Reference Perceptual Blockiness Estimation Method for JPEG Coded Images

Abstract

Abstract: In this paper, we propose an efficient no-reference perceptual blockiness estimation method based on local features and segmentation for JPEG coded images that can automatically quantify perceptual blocking artifacts. We believe that perceptual blockiness of any image is strongly dependent on local features such as edge, flat and texture. Therefore, edge, flat, and texture based blockiness are evaluated in this method. Experimental results on LIVE database show that proposed method has sufficient correlation with subjective evaluation scores