A Full-Reference Image Quality Assessment for Multiply Distorted Image based on Visual Mutual Information
Volume: 63, Issue: 6, Pages: 060504 - 11
Published: Nov 1, 2019
Abstract
A full-reference image quality assessment (FR-IQA) method for multi-distortion based on visual mutual information (MD-IQA) is proposed to solve the problem that the existing FR-IQA methods are mostly applicable to single-distorted images, but the assessment result for multiply distorted images is not ideal. First, the reference image and the distorted image are preprocessed by steerable pyramid decomposition and contrast sensitivity function...
Paper Details
Title
A Full-Reference Image Quality Assessment for Multiply Distorted Image based on Visual Mutual Information
Published Date
Nov 1, 2019
Volume
63
Issue
6
Pages
060504 - 11
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History