|Communications on Applied Electronics
|Foundation of Computer Science (FCS), NY, USA
|Volume 4 - Number 9
|Year of Publication: 2016
|Authors: Ramandeep Kaur, Dipen Saini
Ramandeep Kaur, Dipen Saini . 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 ( April 2016), 22-30. DOI=10.5120/cae2016652166
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.