No-Reference Image Quality Assessment Based on Edges

Abstract

Image quality assessment is a crucial topic in the field of image processing. In this paper, we propose an edge-based no-reference image quality assessment method. The following factor is applied to assess image quality, namely, improved blur measurement. In the improved blur measurement method, we propose an algorithm that improves the accuracy in measuring image blurs and attains effective execution speed in time complexity. Experimental results reveal that using the proposed approach helps attain satisfactory image quality assessment results.