International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 114 - Number 18 |
Year of Publication: 2015 |
Authors: Anuradha, Harsimranjeet Kaur |
10.5120/20094-1876 |
Anuradha, Harsimranjeet Kaur . Improved Underwater Image Enhancement using L*A*B on CLAHE and Gradient based Smoothing. International Journal of Computer Applications. 114, 18 ( March 2015), 45-52. DOI=10.5120/20094-1876
The underwater images usually suffer from non-uniform lighting, low contrast, blur and diminished color. This paper proposed an image based preprocessing technique to enhance the quality of underwater images. The mixed CLAHE has neglected the use of L*A*B color space to enhance the image in efficient manner. Also the problem of the uneven illuminate is also neglected by the most of the researchers. To overcome the problems of existing technique a new L*A*B color space and CLAHE based image enhancement algorithm is proposed in this research work. To overcome the issue of the uneven illuminate issue in the output image of the CLAHE output has been further removed using the use of image gradient based smoothing. The main scope of the proposed algorithm is to improve the accuracy of the underwater image enhancement techniques. Different type of the images will be taken for experimental purposes to estimate the effectiveness of the image enhancement techniques. Different kind of image quality metrics has been used to find the significant improvement of the proposed technique over the available techniques. The comparative analysis has shown the significant improvement of the proposed technique over the mixed CLAHE.