Selective Review on Various Images Enhancement Techniques

Principle goal of Image enhancement is to process an image so that result is more suitable than original image. As the Image clarity is very much affected by surrounding like lighting, weather, or equipment that was used to capture the image, as a result, many techniques have developed known as image Enhancement techniques to recover the information in an image. Digital image enhancement techniques provide a multiple choices for improving the visual quality of images. The choice of these techniques is influenced by many factors such as the imaging module, task at hand and viewing condition or display devices. This paper will provide an overview of the Image Enhancement concepts, along with algorithms commonly used for image enhancement. Main focus of this paper is on point processing methods, histogram processing and some more complex algorithms which has been proposed up to now by different researchers uses histogram equalization, curvelet transform, network and channel division concepts and to compare the output Image quality of these algorithms. Then we will find out the shortcoming of some important previously proposed algorithms and on the basis of their experimental results comparison point out the efficient direction for future research to get higher result.