Review: Underwater Image Enhancement Based on Linear Image Interpolation and Limited Image Enhancer Techniques

Abstract

This paper has focused about the different underwater image enhancement methods. The underwater images usually suffer from non-uniform lighting; low contrast, blur and diminished colors. The obstacles for images that are taken under the water are haze, low contrast, loss of color, etc. The quality of images that are taken under the water is not clear due to the impurities present in the water and some properties of water. This paper consists various approaches for Under Water Image Enhancement Exploring, understanding and investigating underwater activities of images are gaining importance for the last few years. Today, scientists are very keen to explore the mysterious underwater world. However, this area is still lacking in image processing analysis techniques and methods that can be used to improve the quality of the underwater images. Underwater Imaging is a very important research in the field of ocean engineering. Underwater haze removal techniques become very popular because it uses various vision underwater applications. Underwater images were captured to show the world at underwater. The proposed topic consist of two methods they are Interpolation based Enhancement and Limited Image Enhancer. The First method is based on increasing the resolution of the image and the second one is based on increasing the contrast of the images. The main aim of the paper is to enhance the image that was taken under water. The qualitative for both the algorithms compared with the previous image enhancement techniques.

Keywords: Underwater image, enhancement, dehaze