Open AccessA study of the most important image quality measures
Author(s) -
Rogério Melo Kinape,
Mardson de Freitas Amorim
Publication year - 2005
Publication title -
revista eletrônica de sistemas de informação
Language(s) - English
Resource type - Journals
ISSN - 1677-3071
DOI - 10.21529/resi.2005.0401001
Subject(s) - histogram , image quality , quality (philosophy) , computer science , relation (database) , pixel , artificial intelligence , correlation , noise (video) , image (mathematics) , computer vision , image processing , pattern recognition (psychology) , statistics , mathematics , data mining , philosophy , geometry , epistemology
At the present time there are several statistical computer measures in existence that can be used to quantify the gain or loss of image quality. The challenge consists in guaranteeing that these measures may be reliable for a given goal. This paper presents a study and comparison between several commonly used quality measures (signal/noise relation, average quadratic error, histogram cross-correlation, and pixel correlation) applied to digital images that underwent computer processing to affect their quality.