Implementation of CLAHE and CLAGAMTWO in Medical Images

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Published Nov 30, 2025
DOI https://doi.org/10.20895/inista.v8i1.2061

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Faisal Muttaqin
Department of Informatics, Faculty of Computer Science, Universitas Pembangunan Nasional Veteran Jawa Timur, Surabaya, Indonesia
Lendy Rahmadi
Dwi Januarita

Abstract

In the era of development of medical image processing technology, the quality of radiological images such as X-ray, CT-Scan, and MRI plays an important role in the diagnosis process, detecting diseases early, and evaluating the treatment of various medical conditions. To maximize the potential of images in the diagnostic process, effective pre-processing steps are needed so that anatomical structures are more clearly visible, pathological details are maintained, and noise and artifacts can be reduced. One of the image contrast enhancement techniques is Contrast Limited Adaptive Histogram Equalization (CLAHE) and CLAGAMTWO (Clahe-Gamma-Gamma). CLAHE is superior in ENTROPY of 7.154, while for CLAGAMTWO it is superior in SSIM value of 0.944 and CNR of 1.820. So, in terms of increasing the complexity or diversity of information CLAHE is slightly better than CLAGAMTWO. While for CLAGAMTWO it is better in the level of contrast clarity between dark and bright areas in an image, even though there is noise interference.

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How to Cite
Muttaqin, F., Rahmadi, L., & Januarita, D. (2025). Implementation of CLAHE and CLAGAMTWO in Medical Images. Journal of Informatics Information System Software Engineering and Applications (INISTA), 8(1), 22-27. https://doi.org/10.20895/inista.v8i1.2061
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Vol 8 No 1 (2025): November 2025
Section
Articles
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