Underwater Image Brightness Enhancement based on the DCT Coefficient Model using Genetic Algorithm
Meng Ge, Qingqing Hong, Qian Fan, Lifeng Zhang · 2018
Nowadays underwater image process gains more and more attention, as an increasing number of researchers and companies showing interest in ocean engineering, underwater archaeology, mining, etc. The uneven illumination in water brings image analysis a challenge. This paper introduces a new method to optimize brightness based on the DCT coefficient. The statistical model of image DCT coefficients changes with operations on the image. Our method is used to enhance the under-exposed and over-exposed regions of images by regulating the low-frequency part of the image DCT coefficients using the genetic algorithm.