Underwater Image Enhancement Techniques: An Exhaustive Study
Aashi Singh Bhadouria · International Journal for Research in Applied Science and Engineering Technology · 2022
Abstract: This paper discusses the various different techniques and their comparative study that will help us for improving underwater image enhancement, These underwater images usually suffer from motion blur effect due to turbulence in the flow of water and non-uniform illumination and limited contrast, Due to the presence of distortion captured underwater image needs to be processed in different ways because the underwater images captured in deep low light environment are of worst quality and these images are low contrast, cause blurring effect, limited range visibility, low contrast, hazy, light transportation is very less, scattering, absorption, noise, natural light absorption, dispersion, color variations, clarity of image is reduced, absence of natural colors, quality of the image degrades and these underwater images cannot be directly used for various computer vision techniques, experiments, object tracking system, scientific research, marine biology research, underwater vehicles, detecting system, counting system, submarine operations, underwater navigation system, disaster prevention system, maintenance of oil rigs. When captured in the underwater environment as compared to images from a clearer environment, The turbid nature of water due to the presence of particles such as minerals, salt, sand, planktons is the major obstacle in the area of underwater research. These particles produce haziness in the deep underwater captured images and it is suitable for use and many other fields. Different methods made for processing of these underwater images there are different filtering techniques, enhancement techniques preprocessing and image restoration techniques are available and some of them are discussed in this paper with their results. Keywords: Underwater Image, Image Enhancement, Image Dehazing, Light Scattering, Filtering Technique, Pre-processing Technique, Haze Environment, Multi-scale wavelet.