Poor Quality Underwater Image Enhancement for Aqua Farming using Hybrid WCID
M. Pradeep, Yarravarapu Srinivasa Rao · 2018
Enhancement of underwater images is more complicated when compared with normal images due to color scatter and cast. Haze effects create significant impact on image contrast and visibility. Underwater environment has more smudge due to light attenuation. Under these circumstances capturing the clear pictures of fish and prawn for health monitoring is very difficult. Conventional enhancement algorithms fail to provide better solution for poor quality underwater images. To overcome these difficulties this paper presents a hybrid approach that includes image dehazing along with wavelength compensation (WCID). Several realistic aqua images were considered in this paper to prove the novelty of the proposed hybrid WCID based underwater image enhancement.