When anyone captures a image in low light conditions the image lacks light and may not visible clearly. These images can have low dynamic ranges with high noise levels which effects the whole image quality. In this project we try to improve quality of these low light image using digital image processing methods and using MATLAB inbuilt toolbox of image processing[7]. Digital image processing is the use of a digital computer or other digital device to process digital images through an algorithm or code which makes the image to have better visibility[3]. As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing. It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and distortion during processing. Since images are defined over two dimensions (perhaps more) digital image processing may be modeled in the form of multidimensional systems. The generation and development of digital image processing are mainly affected by three factors: first, the development of computers; second, the development of mathematics (especially the creation and improvement of discrete mathematics theory); third, the demand for a wide range of applications in environment, agriculture, military, industry and medical science has increased. Our project uses a simple but efficient code which focuses on increasing the visibility, contrast, reduce noise, and have more details in the enhanced image than that of the original image.