ENHANCING THE QUALITY OF UNDER WATER IMAGES USING DEPTH ESTIMATION AND FUZYY CONTRAST ENHANCEMENT METHOD
Keywords:
Fuzzy Contrast Enhancement, Depth Estimation, Color Estimation, MSE, PSNR.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.
