An Enhancement of Underwater Images using DCP and CLAHE Algorithm
Malathi V1, Manikandan A2

1Malathi V, Assistant Professor, SRM Arts And Science And College, Chennai, Tamil Nadu, India.
2Dr. Manikandan A, Assistant Professor, Muthayammal Memorial College Of Arts And Science, Rasipuram, Tamil Nadu, India.
Manuscript received on November 22, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 2805-2813 | Volume-9 Issue-2, December, 2019. | Retrieval Number:  A9607109119/2019©BEIESP | DOI: 10.35940/ijeat.A9607.129219
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (

Abstract: The lack of resource requirement in this population world, we are in a position to require another resources. In this regard, ocean is one of our sustenance. It is the exact platform for various applications like, transport, food, energy etc., but still we are surveyed partly at all aspects. One of the main focus of challenge is scattering of light as it penetrate from air to water which presents us with a bluish background while studying the scenery. In this, added to this there is a hazy appearance in the visuals and calls for Image Enhancement techniques. Here, Dark Channel Prior(DCP) is used to remove the haze and noise induced by the bluish environment. However, this proposal of method is also used to increase darkness of the image, Contrast Limited Adaptive Histogram Equalization (CLAHE) is used on the RGB image to enhance the contrast and intensity of the image. Finally, we get visually pleasing result, colour correlation method is carried out. The experimental result shows that a enhanced underwater image from the base image, and mostly useful to analyze and monitoring the underwater images.
Keywords: CLAHE, Dark channel prior, Haze, Image Enhancement, RGB.