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Image Enhancement of Underwater Digital Images by Utilizing L*A*B* Color Space on Gradient and CLAHE based Smoothing

Ramandeep Kaur, Dipen Saini. Published in Image Processing.

Communications on Applied Electronics
Year of Publication: 2016
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Ramandeep Kaur, Dipen Saini

Ramandeep Kaur and Dipen Saini. Article: Image Enhancement of Underwater Digital Images by Utilizing L*A*B* Color Space on Gradient and CLAHE based Smoothing. Communications on Applied Electronics 4(9):22-30, April 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

	author = {Ramandeep Kaur and Dipen Saini},
	title = {Article: Image Enhancement of Underwater Digital Images by Utilizing L*A*B* Color Space on Gradient and CLAHE based Smoothing},
	journal = {Communications on Applied Electronics},
	year = {2016},
	volume = {4},
	number = {9},
	pages = {22-30},
	month = {April},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}


The underwater digital images generally suffer from blur, low contrast, non-uniform lighting, and diminished color. This research paper proposed a preprocessing technique based on image to improve the quality of underwater digital images. The mixed Contrast Limited Adaptive Histogram Equilization (CLAHE) has actually neglected the utilization of L*A*B color image space to improve the image in an effective way. Also the uneven illumination problem is also ignored by many researchers. To conquer the problems of on hand technique a brand new L*A*B color image space as well as CLAHE based digital image enhancement technique is proposed in this paper. To conquer the problem of uneven illumination in the resultant image of the CLAHE image output has been further removed by utilizing the smoothing process of image gradient. The main objective of the planned algorithm is to enhance the accuracy of the underwater digital image enhancement methods/techniques. Various types of digital images will be considered for experimental point of view to estimate the efficacy of the image enhancement methods or techniques. Also, various types of image top-quality metrics have been utilized in order to check the significant improvement of the recommended technique over the offered techniques. The significant improvements have shown in the comparative analysis of the proposed algorithm over the available mixed CLAHE.


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Preprocessing Underwater Image, CLAHE, L*A*B* Color Image Space, Image Gradient, Image Enhancement, Image Smoothing