No-Reference Image Quality Evaluation Based on Local Features and Segmentation

Abstract

〈Summary〉 Perceived image distortion of any image is strongly dependent on the local features, such as edge, flat and texture. In this paper, a new objective no-reference (NR) image quality evaluation model for JPEG coded images based on the local features and segmentation is presented. The local features information of the image such as edge, flat and texture area and also the blockiness, activity measures, and zero crossing rate within the block of the image are evaluated in this method. The results on two different image databases indicate that the model performs quite well over a wide range of image content and distortion levels.