Nonlinear transfer function-based image detail preserving dynamic range compression for color image enhancement

Authors:
Deepak Ghimire;Joonwhoan Lee
Affiliations:
Computer Science and Engineering, Chonbuk National University, Jeonju, Jeollabuk-do, Rep. of Korea;Computer Science and Engineering, Chonbuk National University, Jeonju, Jeollabuk-do, Rep. of Korea
Venue:
PSIVT'11 Proceedings of the 5th Pacific Rim conference on Advances in Image and Video Technology - Volume Part I
Year:
2011

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Abstract

This paper presents a method for color image enhancement in HSV space with preserving image details. The RGB color image is converted into HSV space and V channel image is now subjected for enhancement. By applying image dependent nonlinear transfer function the local image contrast preserving dynamic range compression as well as contrast enhancement is performed simultaneously on the V channel image. Finally, the enhanced V channel image and original H and S channel images are converted back to RGB image to obtain enhanced RGB image. The original color of the image is preserved because H and S component are kept unchanged. The experimental results show that the performance of the proposed method is better in terms of both subjective and objective evaluation in comparison with conventional methods.