Underwater Digital Images Enhanced by L*A*B* Color Space and CLAHE on Gradient based Smoothing

Abstract

The underwater digital images generally suffer from blur, low contrast, non uniform lighting and diminished color. This preprocessing technique based on image to improve the quality of underwater digital images. The mixed Contrast Limited Adaptive Histogram Equalization (CLAHE) has neglected the utilization of L*A*B* color image space to improve the image in an effective way. Also the uneven illumination problem is ignored by many researchers. To conquer the problems 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 is to enhance the accuracy of the underwater digital image enhancement techniques. Various types of digital images will be considered for experimental point of view to estimate the efficiency 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 Keywords: L*A*B*-L for lightness and a and b for the color opponents green-red and blue-yellow.,CLACHE-contrast limited adaptive histogram equalization-,PSNR-Peak Signal noise ratio,MSE-Mean Square Error,NAE-Normalized Absolute Error