Open AccessComparative Study of Different Image Enhancement Techniques
Author(s) -
Saruchi Garg,
Madan Lal
Publication year - 2012
Publication title -
international journal of computer and technology
Language(s) - English
Resource type - Journals
ISSN - 2277-3061
DOI - 10.24297/ijct.v2i3c.2711
Subject(s) - image enhancement , contrast (vision) , contrast enhancement , computer science , artificial intelligence , image (mathematics) , image quality , computer vision , modality (human–computer interaction) , task (project management) , image contrast , pattern recognition (psychology) , engineering , medicine , systems engineering , magnetic resonance imaging , radiology
The main purpose of image enhancement is to bring out detail that is hidden in an image or to increase contrast in a low contrast image. Image enhancement techniques provide a multitude of choices for improving the visual quality of images. Appropriate choice of such techniques is greatly influenced by the imaging modality, task at hand and viewing conditions. This paper analyses the performance of some of existing image enhancement algorithms. The performance of algorithms are evaluated both qualitatively and quantitatively.