Image Enhancement Techniques for Low Exposure Images

Abstract

In this technological world, images are being captured by different camera sensors for different applications, but manipulation of these images without any information loss is an arduous task. If the images are of, low contrast, complex and contain a lot of uncertainties then understanding of such images and observing the region of interest is very difficult. Because of poor quality image, the scientific evaluation and diagnosis becomes complicated in medical imaging. So image enhancement techniques are used for the improvement of the interpretability of information contents with better quality image. But designing an appropriate image enhancement technique is very difficult. Some of the existing methods resulted more Information loss, over enhanced image, no control on enhancement rate, not able to preserve the brightness and produce artifacts in the enhanced image. Few techniques are not adaptive and results the enhanced image by losing the natural appearance by affecting the structure, feature similarity. Such techniques are not suitable for further processing the enhanced image for different applications. So, different algorithms have been presented in this thesis to enhance the image quality along with eliminating the above discussed issues. newline