Enhancement of Underwater Images based on PCA Fusion

摘要

In Oceanic Environment, removal of hazy scenes due to the effects of scattering and absorption in underwater images plays an important issue. It is important to enhance the visual appearance of such images. In this paper a fusion based approach to enhance the underwater images is proposed. In this work, the input RGB image is subjected to Gaussian Filter and CLAHE. The RGB components applied to CLAHE are smoothened by means of median filter. The filtered RGB components are then fused using Principal Component Analysis (PCA) fusion technique. The final enhanced underwater images are subjected to both qualitative and quantitative analysis. The performance measures such as SSIM, Entropy and AMBE reveals the validation of the proposed findings.