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All Journal Internet of Things and Artificial Intelligence Journal
Hsb, Adinda Tarisyah
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Image quality enhancement by applying a combination of filtering between the median filter and CLAHE Hsb, Adinda Tarisyah; Harahap, Lailan Sofinah; Fadillah, Hasti
Internet of Things and Artificial Intelligence Journal Vol. 5 No. 2 (2025): Volume 5 Issue 2, 2025 [May]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v5i2.921

Abstract

Digital image quality is often degraded due to disturbances such as salt-and-pepper noise and uneven lighting. This can hinder further image analysis and processing. This research aims to improve image quality by applying a combination of two filtering methods, namely Median Filter and CLAHE (Contrast Limited Adaptive Histogram Equalization), using MATLAB. Median Filter is used to remove impulsive noise without obscuring important details, while CLAHE is applied to improve image contrast adaptively and locally. Tests were conducted on grayscale images with artificial noise added. The experimental results show that the combination of both methods provides a significant improvement in image quality compared to the use of either method alone. Thus, this approach is effectively used for image pre-processing that requires detail recovery and contrast enhancement.
Co-Authors Fadillah, hasti Harahap, Lailan Sofinah