An Image Quality Assessment Metric Based on Singular Values and Singular Vectors
Jianqiu Zhang · Fudan xuebao. Ziran Kexue ban · 2012
A novel effective full-parameter image quality assessment metric is introduced from the viewpoint of energy and structure.The novel objective metric uses the singular vectors and singular values as the features to assess the quality of the distorted image.The novel metric can evaluate not only the local errors but also the global errors.Simulation shows that compared with traditional algorithms,the proposed metric can greatly improve the consistency with the DMOS,especially for the noisy images.