Open AccessImage Enhancement Using Weighted Bi-Histogram Equalization
Author(s) -
Thaweesak Trongtirakul,
Nattapong Phanthuna
Publication year - 2021
Publication title -
international journal of applied mathematics and informatics
Language(s) - English
Resource type - Journals
ISSN - 2074-1278
DOI - 10.46300/91014.2021.15.16
Subject(s) - histogram equalization , histogram , adaptive histogram equalization , computer science , artificial intelligence , brightness , histogram matching , image quality , computer vision , digital image , image (mathematics) , contrast (vision) , image enhancement , image processing , pattern recognition (psychology) , physics , optics
Image enhancement is one of using in various digital signal processing areas. Advances in microcontrollers, microcomputers and computers have developed traditional algorithms in order to improve the quality of the resulting image and have implied many avenues to the design of new innovations using various techniques. This paper proposes contrast enhancement using weighted bi-histogram equalization based on distributed area ratio. Moreover, this technique must use a weighted factor which is calculated by the ratio of the histogram distribution. Likewise, an original image will be equalized by the modification of the probability density function of the gray levels. As result of the experiment, the contrast of resulting image is improved for implement and human perception – as well as also reduces the absolute mean brightness error (AMBE) than the traditional technique of image enhancement.