A Novel Algorithm for Image Contrast Enhancement

The rapid introduction of direct and indirect digital imaging systems in natural images has created a wide selection of computer-based methods for analyzing imaging. Utilizing the computational power along with the application of digital imaging algorithms, has a significant impact on analyzing utility. It is crucial to understand the mechanisms by which a given imaging algorithm modifies an image to assess its impact on image quality and hence better visibility. Region Based Segmentation and several other techniques have been widely used in many applications involving image processing. One such application in low contrast images is using digital image analysis. For effective and correct analysis it is necessary to segment out blurred regions, low contrast regions in the image. In this present work, region based segmentation has been chosen. Although there are many contrast enhancement techniques which enhances the contrast of the image, but the proposed technique enhances the contrast of the image to a great extent. The proposed technique is compared both subjectively and objectively by using suitable quality metrics with the existing contrast enhancement techniques. On the basis of experimental results it shows that the proposed technique shows better quality of an image as compared to other techniques.