Grey Wolf Optimization Algorithm for Colour Image Enhancement Considering Brightness Preservation Constraint
Journal Title: International journal of Emerging Trends in Science and Technology - Year 2016, Vol 3, Issue 5
Abstract
Colour image enhancement plays an important role in Digital Image Processing. Color images provide more and better off information for visual perception than that of the gray images. The purpose of image enhancement is to get finer details of an image and highlight the useful information. During poor illumination conditions, the images appear darker or with low contrast. Such low contrast images needs to be enhanced. Image enhancement can be achieved by applying Histogram Equalization (HE) and it is widely used due to its simplicity and effectiveness. However, together with some advantages HE hampers the mean brightness, due to these grounds it is not enviable to implement HE in colour image enhancement. In order to overcome this problem this paper proposes a new-fangled contrast enhancement and brightness preservation technique based on Grey Wolf Optimizer (GWO) algorithm for quality improvement of the low dynamic range images. The proposed method is expected to provide better enhanced output image and preserve brightness of the enhanced image very close to the input image and the resulted images were suitable for consumer electronic products.
Authors and Affiliations
J. Vinothini
Keywords
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