International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 32 - Number 5 |
Year of Publication: 2011 |
Authors: Krishan Kant Lavania, Shivali, Rajiv Kumar |
10.5120/3897-5460 |
Krishan Kant Lavania, Shivali, Rajiv Kumar . Article:A Comparative study of Image Enhancement using Histogram Approach. International Journal of Computer Applications. 32, 5 ( October 2011), 1-6. DOI=10.5120/3897-5460
This paper presents two methods of Image enhancement that improves the visual quality of image. In this paper, the authors compare two histogram techniques: Histogram Equalization and Histogram Specification. Histogram Equalization is a technique that generates a gray map which changes the histogram of an image and redistributing all pixels values to be as close as possible to a user –specified desired histogram. Histogram specification is a technique to enhance certain regions of an image. A measure of enhancement (EME) based on contrast respect to transform is used as a tool for evaluating the performance of the enhancement techniques. The author implement and analyze the result of these two approaches based on EME using Image Processing Toolbox (IPT) and their performance evaluated on various images.