Title :
A study of the most important image quality measures
Author :
Kinape, Rogerio M. ; Amorim, Mardson F.
Author_Institution :
Programa de Pos-Graduacao em Informatica Aplicada, Pontificia Univ. Catolica do Parana, Brazil
Abstract :
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 (power signal to noise ratio, root mean square error, histogram cross-correlation, and pixel correlation) applied to digital images that underwent computer processing to affect their quality.
Keywords :
image enhancement; mean square error methods; medical image processing; computer processing; digital images; histogram cross-correlation; image quality measures; pixel correlation; power signal to noise ratio; root mean square error; Gain measurement; Histograms; Image quality; Loss measurement; Noise measurement; Pixel; Power measurement; Root mean square; Signal to noise ratio; Time measurement;
Conference_Titel :
Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
Print_ISBN :
0-7803-7789-3
DOI :
10.1109/IEMBS.2003.1279919
