Wavelet-based directional structural distortion model for image quality assessment
Guangquan Cheng, Lizhi Cheng, Ying Li · Pattern Recognition and Image Analysis · 2010
It is a challenging work to find an efficient metric of image quality assessment, which is an important problem for many image processing tasks. In this paper, we propose a novel wavelet-based directional structural distortion model for image quality assessment, which explores the geometric structural features of natural image. The experimental results upon image database show that our proposed method is in accordance with characteristic of human visual system and has better consistency with the subjective assessment of human beings than current image quality assessment algorithms.