Comparative Analysis of Underwater Image Enhancement Using Retina Model
Ms. Pranjali G. Maske, Prof. Kanchan Warkar
Underwater Image Enhancement, Adaptive Histogram Equalization (AHE), Dark Channel Prior (DCP), Peak Signal-To-Noise-Ratio (PSNR), Gray Level Co-Occurrence Integrated Algorithm (GLCIA)
An underwater picture enhancement model stimulated via the morphology and function of the retina version. So the primary objective of to expand this venture of an underwater picture enhancement is to recover the excellent of a blurriness snap shots That has been degraded because of scatters, noise and amalgamation inside the underwater images surroundings. Goals are create dataset and put into effect nice of pix with the assist of incorporated formal strategies. Thus to avoid the important issues of underwater image blurriness we want to comparative evaluation of underwater photograph enhancement. There are techniques are used for underwater photograph processing i.e. Photo enhancement and photograph restoration. Photograph enhancement is a method of enhancing the quality of image with the aid of improving its function. On this paper comparative evaluation of various enhancement strategies for such underwater pix is provided.
Article Details
Unique Paper ID: 151885

Publication Volume & Issue: Volume 8, Issue 1

Page(s): 1305 - 1309
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Last Date 25 February 2020

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