Affordable Access

Publisher Website

Visual-PSNR measure of image quality

Authors
Journal
Journal of Visual Communication and Image Representation
1047-3203
Publisher
Elsevier
Volume
25
Issue
5
Identifiers
DOI: 10.1016/j.jvcir.2014.01.008
Keywords
  • Image Quality
  • Objective Measure Of Image Quality
  • Peak Signal-To-Noise Ratio
  • Block-Based Compression Algorithm
  • Subjective Image Quality
  • Image Database
  • Mean Opinion Score
  • Human Visual System
Disciplines
  • Computer Science

Abstract

Abstract Objective assessment of image quality is important in numerous image and video processing applications. Many objective measures of image quality have been developed for this purpose, of which peak signal-to-noise ratio PSNR is one of the simplest and commonly used. However, it sometimes does not match well with objective mean opinion scores (MOS). This paper presents a novel objective full-reference measure of image quality (VPSNR), which is a modified PSNR measure. It will be shown that VPSNR takes into account some features of the human visual system (HVS). The performance of VPSNR is validated using a data set of four image databases, and in this article it is shown that for images compressed by block-based compression algorithms (like JPEG) the proposed measure in the pixel domain matches well with MOS.

There are no comments yet on this publication. Be the first to share your thoughts.

Statistics

Seen <100 times
0 Comments

More articles like this

Visual-PSNR Measure of Image Quality

on Journal of Visual Communicatio...

Image information and visual quality.

on IEEE transactions on image pro... February 2006
More articles like this..