Underwater Image Enhancement Method Using SVD and JAYA Algorithm

In this paper, underwater image enhancement method is designed using Singular Value Decomposition (SVD) algorithm. Before applying the SVD algorithm, pre-processing of the underwater image is done to determine the superior, inferior, and intermediate channel. Next, superior channel is used as a reference plane to enhance the inferior and intermediate channel. Therefore, how much superior channel is contributed to enhance the inferior and intermediate channel is determined using the scaling value. To achieve this goal, the optimal scaling value is determined using the JAYA algorithm. In the last, all channels are concatenate to reconstruct the enhanced underwater image. The performance evaluation is done using subjective and objective analysis. The result shows that the proposed method enhances visually images and provides higher entropy.