Distance-Oriented Cuckoo Search enabled optimal histogram for underwater image enhancement: a novel quality metric analysis

ABSTRACT

The major problem in underwater image processing involves light attenuation. In order to overcome such light incorporation and dispersion issues, this paper proposes a new underwater image enhancement model that includes certain phases like contrast correction and colour correction. Here, two processes are worked out in contrast correction namely (i) global contrast correction and (ii) local contrast correction. Furthermore, as the histogram evaluation is the major part of any image enhancement, it is very important to choose the optimal limits of the histogram. To solve this optimization problem, this paper introduces a new optimization model namely Distance Oriented Cuckoo Search (DOCS) algorithm that also satisfies the objective function defined in this paper. The major process of this model focusses on Integrated Global and Local Contrast Correction (IGLCC). Finally, the proposed model compares its performance over other methods.

KEYWORDS:

• Underwater image
• contrast correction
• colour correction
• Cuckoo Search algorithm

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes on contributors

R. Prasath has completed his B.E. in ECE from Sona College of Technology, Salem, affiliated to Anna University in the year 2009. He completed his M.Tech. in Multimedia Technology in the year 2011 from Karunya Institute of Science and Technology (Deemed to be University), Coimbatore. Currently, he is pursuing his Ph.D. as Research Scholar from Meenakshi Academic of Higher Education and Research (Deemed to be University), Chennai. He has published two papers in International Conferences and two in National Conferences. He has published two international journals. His areas of interest are Computer Graphics, Image Processing, Computer Vision, Multimedia and Cryptography.

Dr T. Kumanan received M.E. and Ph.D. Degrees in 2005 and 2014 from Anna University, Chennai. He is working as Professor in the Department of CSE at Meenakshi Academic of Higher Education (Deemed to be University), Chennai. He has published 10 papers in International-level Conferences and two papers in National-level Conferences. He has published 15 papers in Internal National Journal. His areas of interests are in Computer Networks, Mobile Computing, Cryptography and Network Security, Image Processing and High Speed Network. He is a member of ISTE and CSI.