46675fd1-7796-4f20-939e-6145f17f518120211120101323389naun:naunmdt@crossref.orgMDT DepositInternational Journal of Applied Mathematics and Informatics2074-127810.46300/91014http://www.naun.org/cms.action?id=3064319202131920211510.46300/91014.2021.15https://www.naun.org/cms.action?id=23306ThaweesakTrongtirakulDepartment of Electrical Engineering, Faculty of Industrial Education Rajamangala University of Technology Phra Nakhon 399 Samsen Wachira Phayaban, Dusit, Bangkok ThailandNattapongPhanthunaDepartment of Electrical Engineering, Faculty of Engineering Rajamangala University of Technology Phra Nakhon 1381 Pracharat 1, Bangsue, Bangkok ThailandImage 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.11202021112020219810116https://www.naun.org/main/UPress/ami/2021/a322013-016(2021).pdf10.46300/91014.2021.15.16https://www.naun.org/main/UPress/ami/2021/a322013-016(2021).pdf10.1109/icce.2011.5722541Se-Hwan Yun, Jin Heon Kim and Suki Kim, Contrast Enhancement using a Weighted Histogram Equalization, 2011 IEEE International Conference on Consumer Electronics (ICCE), 2011, pp. 203 – 204. 10.1109/30.580378Yeong-Taeg Kim, Contrast Enhancement Using Brightness Preserving BiHistogram Equalization, IEEE Transactions on Consumer Electronics, Vol. 43, No. 1 February 1997, pp. 1 – 8 R. C. Gonzalez and P. Wints, Digital Image Processing, 2nd Edition, Addison-Wesley Publishing Co., Reading, Massachusetts, 1987. 10.1002/9781118093467OGE Marques, Practical Image and Video Processing Using MATLAB, A John Wiley and Sons. Inc. Publication, 2011. 10.1109/tce.2003.1261234Soong-Der Chen, Ramli and A.R., Minimum Mean Brightness Error BiHistogram Equalization in Contrast Enhancement, 2003 IEEE Transections on Consumer Electronics, Vol. 49, Issue 4, pp. 1310 – 1319.