High Dynamic Range Color Image Enhancement Using Fuzzy Logic and Bacterial Foraging

Om Prakash Verma; V. K. Madasu; V. Shantaram

doi:10.14429/dsj.61.1184

Om Prakash Verma Delhi Technological University, Delhi
V. K. Madasu Queensland University, Brisbane
V. Shantaram American Inter Continental University, Los Angeles

DOI: https://doi.org/10.14429/dsj.61.1184

Keywords: Entropy, exposure, rectangular hyperbolic, s-function, contrast, visual factor, quality factor, under and overexposed regions, optimization.

Abstract

High dynamic range images contain both the underexposed and the overexposed regions. The enhancement of the underexposed and the overexposed regions is the main concern of this paper. Two new transformation functions are proposed to modify the fuzzy membership values of under and the overexposed regions of an image respectively.For the overexposed regions, a rectangular hyperbolic function is used while for the underexposed regions, an S-function is applied. The shape and range of these functions can be controlled by the parameters involved, which are optimized using the bacterial foraging optimization algorithm so as to obtain the enhanced image. The hue, saturation, and intensity (HSV) color space is employed for the purpose of enhancement, where the hue component is preserved to keep the original color composition intact. This approach is applicable to a degraded image of mixed type. On comparison, the proposed transforms yield better results than the existing transformation functions17 for both the underexposed and the overexposed regions.

Defence Science Journal, 2011, 61(5), pp.462-472, DOI:http://dx.doi.org/10.14429/dsj.61.1184

Author Biographies

Om Prakash Verma, Delhi Technological University, Delhi

Dr Om Prakash Verma received MTech (Communication and Radar Engineering) from Indian Institute of Technology (IIT),Delhi, in 1996 and PhD from University of Delhi, Delhi, in 2011. Currently, he is Head of Department of Information Technology at Delhi Technological University, Delhi. He is also the author of more than 10 publications in both conference procedding and journal. He has authored a book on Digital Signal Processing. His research interests include: Image processing, application of fuzzy logic in image processing, application of evaluationary algorithm in image processing, artificial intellegent and digital signal processing.

V. K. Madasu, Queensland University, Brisbane

Dr Vamsi Krishna Madasu obtained BTech (Electronics & Communication Engineering) from Jawaharlal Nehru Technological University,India in 2002 and PhD (Electrical Engineering) from the University of Queensland, Australia in 2006. Currently, he is a Senior Research Officer at TetraQ, University of Queensland, Australia working in the field of medical image analysis.

V. Shantaram, American Inter Continental University, Los Angeles

Dr Shantaram Vasikarla received his MS (Computer Science) and PhD (Computer Vision) from the Jawaharlal Nehru University,New Delhi, India. He is currently Dean of the School of Information Technology at American InterContinental University, Los Angeles. His research interests include:3-D object recognition, motion estimation, bio-medical and document image processing, biometrics, and fuzzy systems. He has published several papers in international journals and conference proceedings. He is a senior member of the IEEE, IEEE Computer Society, and the IEEE Systems, Man and Cybernetics Society.