First Author:Feiyan Zhang
Date of Publication:2016-01-01
Journal:IEEE Signal Processing Letters
Affiliation of Author(s):数理与信息工程学院
Document Type:期刊
Volume:Vol.23
Issue:No.9
Page Number: 1265-1269
ISSN No.:1070-9908;1558-2361
Key Words:Measurement;Image;edge;detection;Estimation;Distortion;Noise;level;Image;quality;Indexes;multidistortion;Blind/no-reference;cartoon;and;texture;decomposition;(CTD);image;quality;assessment;(IQA);joint;effect
Abstract:In this letter, a no-reference (NR) hybrid image quality assessment (IQA) metric based on cartoon-texture decomposition (CTD) is presented. Focusing on images distorted by both blur and noise, the method takes properties of CTD to separate image into cart
Translation or Not:no