Grey Wolf Optimization Algorithm for Colour Image Enhancement Considering Brightness Preservation Constraint

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.