Visual-PSNR measure of image quality

•Objective image quality measure (VPSNR) is developed.•VPSNR has good correlation with MOS for compressed images.•VPSNR can be calculated in the spatial domain.•VPSNR coincides with PSNR on conner cases. Objective assessment of image quality is important in numerous image and video processing applic...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of visual communication and image representation Jg. 25; H. 5; S. 874 - 878
1. Verfasser: Tanchenko, Alexander
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Inc 01.07.2014
Schlagworte:
Algorithms
Assessments
Block-based compression algorithm
Human visual system
Image compression
Image database
Image quality
Mean opinion score
Metal oxide semiconductors
Objective measure of image quality
Peak signal-to-noise ratio
Subjective image quality
Video
Visual
Image quality
Objective measure of image quality
Peak signal-to-noise ratio
Mean opinion score
Image database
Human visual system
Block-based compression algorithm
Subjective image quality
ISSN:1047-3203, 1095-9076
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:•Objective image quality measure (VPSNR) is developed.•VPSNR has good correlation with MOS for compressed images.•VPSNR can be calculated in the spatial domain.•VPSNR coincides with PSNR on conner cases. 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.
Bibliographie:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1047-3203
1095-9076
DOI:10.1016/j.jvcir.2014.01.008