Underwater haze removal using contrast boosted grayscale image
- PDF / 2,383,666 Bytes
- 20 Pages / 439.37 x 666.142 pts Page_size
- 108 Downloads / 165 Views
Underwater haze removal using contrast boosted grayscale image N. Jayanthi 1
2
& Vishal Rajput & S. Indu
1
Received: 29 June 2019 / Revised: 19 May 2020 / Accepted: 27 July 2020 # Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract
Underwater images generally experience the ill effects of color shift, haze and contrast deterioration because of scattering and absorption of light in water. There are several techniques that can increase the contrast of an image but most of the techniques lose the originality of the image while increasing the contrast, making these techniques highly inefficient and undesirable. The main goal of the proposed work is to increase the contrast of an image along with the haze removal while keeping the original color intact. A two-step decolorization process is employed for the contrast boosting of the grayscale image, which is later used for reproducing the enhanced color image. Mean and standard deviation-based contrast mapping is used to increase the global contrast and Laplacian pyramids are used for enhancing the local contrast adaptively by identifying the edges in an image. Finally, by combining both the local and global approach a contrast boosted image is produced and the color image is retrieved by changing the L component in CIE Lab color space. Keywords Haze removal . Contrast boosting . Histogram equalization . BRISQUE . UIQM . UCIQE
* N. Jayanthi [email protected] Vishal Rajput [email protected] S. Indu [email protected]
1
Delhi Technological University, Delhi, India
2
PDPM Indian Institute of Information and Technology Design and Manufacturing Jabalpur, Jabalpur, India
Multimedia Tools and Applications
1 Introduction Cameras are being used for general underwater exploration, object recognition or selfmaneuvering underwater vehicles, to capture the image or a video sequence. But the biggest issue faced in underwater exploration is of removing haze from an image or a video sequence captured. It is a very significant problem in underwater imaging, smart vehicles, video surveillance, and remote sensing systems. An image appearance totally depends upon weather conditions and it is greatly affected by haze, smog, fog, and smoke. There are various challenges in haze removal like maintaining the originality of the image while increasing the contrast, preserving the edges and setting up the correct white balance. There are various deformations in underwater imaging, but they may be corrected using one of the recent Pinax model [26]. The important attribute of light is that it gets attenuated and scattered underwater easily and studying them has posed an interesting challenge. An underwater image formation model is discussed in [14]. Multiple researchers gave a detailed analysis of the image formation process [5, 36, 43]. Till date many researchers have come up with different techniques to enhance underwater image quality and an overview of these techniques is given in [37]. Removing haze from an image is a very important task as it helps
Data Loading...
