Open AccessEnhancing Moon Crescent Visibility Using Contrast-Limited Adaptive Histogram Equalization and Bilateral Filtering Techniques
Author(s) -
Wan Nural Jawahir Hj Wan Yussof,
Mustafa Man,
Roslan Umar,
Ahmad Najmuddin Zulkeflee,
Ezmahamrul Afreen Awalludin,
Nazhatulshima Ahmad
Publication year - 2022
Publication title -
journal of telecommunications and information technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.151
H-Index - 12
eISSN - 1899-8852
pISSN - 1509-4553
DOI - 10.26636/jtit.2022.155721
Subject(s) - adaptive histogram equalization , grayscale , contrast (vision) , visibility , computer vision , histogram equalization , artificial intelligence , computer science , histogram , geography , image (mathematics) , meteorology
Image enhancement is becoming increasingly important with the advancement of space exploration techniques and the technological development of more durable and scientifically sound observatories equipped with more powerful telescopes. The enhancement of images helps astronomers analyze the results and act toward determining the dates of religious festivals. This work describes a technique known as contrast-limited adaptive histogram equalization (CLAHE) with grayscale contrast enhancement and bilateral filtering. We apply CLAHE on the L component of the CIE-Lab color space to adjust lightness contrast. Subsequently, grayscale contrast enhancement is performed to increase the visibility of the moon crescent. Noise caused by grayscale contrast enhancement is reduced using bilateral filtering. Two quantitative measures are selected (PSNR and MSE) to show the visual improvement achieved by the proposed algorithm.