© 2014, IJCSE All Rights Reserved 168                               Review Paper Volume-2, Issue-5 E-ISSN: 2347-2693 A Comprehensive Review of Improvement of Image Contrast in Case of Poor Light Pratiksha Mishra 1* , Amit Sinhal 2 and Deepak Singh Tomar 3 1*,2,3 Dept of Computer Science & Engg, Technocrats Institute of Technology, Bhopal, Madhya Pradesh, India www.ijcseonline.org Received: 10/04/2014 Revised: 24 /04/2014 Accepted: 19/05/ 2014 Published: 31 /05/2014 Abstract: In this paper, we are reviewing several research papers regarding study and analysis towards improvement of image contrast in case of poor light. In this paper we most focus on many algorithms that has been designed for enhancement of image, At the end, a study has been made by comparing all the proposed parameters that with certain advantages and having limitations too, that have been conducted a relevant experimental analysis to evaluate both their robustness and their performance. Our review work involves a comparative study of Improvement of Image Contrast for image enrichment with respect to the following parameter Performance, Scalability, Image enhancement, Image Acquisition, Applying Morphological operators, Detecting and extracting the background, Applying contrast enhancement operators:- block analysis and opening by reconstruction, Applying image enhancement techniques like image sharpening etc. Keywords: Digital Image Processing, Denoiser, Morphological Operators, Filters, Image contrast, Image segmentation I. INTRODUCTION Digital Image process is that the use of laptop algorithms to perform image process on Digital pictures. As a subfield of digital signal process, digital image process has several blessings over analog image process. It permits a way wider vary of algorithms to be applied to the input file, and might avoid issues like the build-up of noise and signal distortion throughout process [1], [2]. Since pictures are outlined over two dimensions (perhaps more) digital image process could also be sculptural within the type of four-dimensional Systems. Image improvement could be a helpful technique in image process that allows the development of the visual look of the image or provides a remodeled image that permits alternative image process tasks (image segmentation, for example).Methods in image improvement are usually classified into spatial strategies and frequency domain ones. The intensity i.e. the distinction between highest and lowest intensity values in a picture offers a live of its distinction. Contrast enhancement is an important task in image processing that is commonly used as a preprocessing step to improve the images for other tasks such as segmentation. However, some methods for contrast improvement that work well in low- contrast regions affect good contrast regions as well. This occurs due to the fact that some elements may vanish. A method focused on images with different luminance conditions was also introduced. Image process techniques were first developed in 1960 through the collaboration of a good vary of scientists and teachers. The most focus of their work was to develop medical imaging, character recognition and build prime quality pictures at the microscopic level. Throughout this era, instrumentality and process prices were prohibitively high. The monetary constraints had a heavy impact on the depth and breadth of technology development that might be done. By the Nineteen Seventies, computing instrumentality prices [3] had born considerably creating digital image process a lot of realistic. Film and software package firms endowed important funds into the event and sweetening of image process, making a brand new trade. Image process is any variety of signal process that the input is a picture, like a photograph or video frame; the output of image process is also either a picture or, a collection of characteristics or parameters associated with the image. Most image-processing techniques involve treating the image as a two-dimensional signal and applying commonplace signal- processing techniques to that. Image process typically refers to digital image process, however optical and analog image process is also attainable. The acquisition of pictures (producing the input image within the first place) is named as imaging. Image process may be a physical method wont to convert a picture signal into a physical image. The image signals are often either digital or analog. The particular output itself is often associate degree actual physical image or the characteristics of a picture. The foremost common variety of image process is photography. The application of mathematical morphology to image process and analysis has initiated a replacement approach for finding variety of issues within the connected field. This approach relies on set supposed ideas [4] of form. In morphology objects gift in a picture square measure treated as sets. The identification of objects and object options through their form makes mathematical morphology become a noticeable approach for varied machine vision and recognition processes. Very often a recorded image suffers from a typical degradation like poor distinction. The intensity i.e. the distinction between the best and lowest intensity values [5] in a picture provides a live of its distinction. The primary work handling distinction Corresponding Author: Pratiksha Mishra