Dark image enhancement through channel division using spectral decomposition method

Principle objective of image enhancement is to process an image so that result is more suitable than original image for specific application. Digital image enhancement techniques provide a multitude of choices for improving visual quality of an image. Artifacts, over enhancement and unnatural effects are produced by current contrast enhancement algorithms. The Content aware algorithm enhances the image by producing ad hoc transformation for each image by selecting particular content of an image which has to be processed. In order to produce better result of an image morphological method is introduced in this paper. To implement the proposed algorithm image is first transformed in to HSV color space using channel division method and background color of an image is estimated. After estimating the background color is subtracted from the original image to increase the image contrast. Threshold value of an image is calculated to identify the object which has to be enhanced. It analyzes the contrast of image in boundary and textured region and group the information in common characteristics. Results shows that combining these methods can automatically process wide range of images without introducing artifacts, which is an improvement over many existing methods. Keywords— Image enhancement, Channel division, Morphological processing, Content Aware.