Image Enhancement and Implementation of CLAHE Algorithm and Bilinear Interpolation

Digital cameras have made it possible for people to capture many different images in their daily lives. Some pictures turn out well, while others don't. Additionally, noise causes variations in image quality. It is possible that these noises are caused by low light levels or other challenges wi...

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Published inCybernetics and systems Vol. ahead-of-print; no. ahead-of-print; pp. 1 - 13
Main Authors S., Venkatesh, C., John De Britto, P., Subhashini, K., Somasundaram
Format Journal Article
LanguageEnglish
Published Taylor & Francis 11.11.2022
Subjects
Bilinear interpolation
CLAHE algorithm
contrast stretching
noiseless image
noisy image
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Summary:Digital cameras have made it possible for people to capture many different images in their daily lives. Some pictures turn out well, while others don't. Additionally, noise causes variations in image quality. It is possible that these noises are caused by low light levels or other challenges with intensity. The primary goal of this proposal is to discuss ways to enhance image attributes. Using image enhancement methods, the main goal is to reduce image noise and improve image quality. HE (Histogram Equalization) is used to improve the image quality, but the results are underwhelming. Image properties are enhanced using Contrast-Limited Adaptive Histogram Equalization (CLAHE). Bilinear interpolation and the CLAHE algorithm will be used to enhance the images in the initial stages of the proposal, with the main goal being noise reduction. Second, approaches for expanding the contrast of an image have been suggested as a strategy to enhance image quality. The findings demonstrate that the suggested methodology creates great noise-free images by lowering the amount of noise in the images and boosting visual contrast.
ISSN:0196-9722
1087-6553
DOI:10.1080/01969722.2022.2147128