ENHANCING THE QUALITY OF UNDER WATER IMAGES USING DEPTH ESTIMATION AND FUZYY CONTRAST ENHANCEMENT METHOD
M.Tech. Scholar, CSE Department, RITEE, Raipur, India
ABSTRACT
Clarity of images are degraded by light absorption and scattering in underwater. Due to which one color is dominating in the image. The proposed approach is capable in increasing clarity of such images in respect to their color, contrast and sharpness. In this paper, we propose to use image blurriness to estimate the depth map for underwater image enhancement. It is based on the observation that objects farther from the camera are more blurry for underwater images. Then color estimation is done by removing the effect of atmospheric light and finally, fuzzy based contrast enhancement system is prepared for fine tuning of contrast of image. At the last Performances of different filters, and different algorithm are analyzed on quality analysis parameters PSNR and MSE. Experiments shows better PSNR and less MSE than the previously applied algorithms.
