抽象的な

Digital Image Enhancement by Improving Contrast, Removal of Noise and Motion Blurring

Deepika Bansal, Dr. Renu Bagoria, Vinod Sharma

Image enhancement has significance in image processing. This technique is used as a preprocessing step in speech recognition, texture synthesis, Computer graphics, intelligent transportation systems, Digital camera images etc. To enhance the image we have to enhance the contrast, removal of noise and motion blur if present. We improve contrast by histogram equalization and adaptive histogram. These are the method that gives good result to improve contrast. We can remove the noise by median filter, wiener filter and we can remove noise by our filter also that we coded in MATLAB. After that we can remove motion blur also from the same image by using total variation method. So this paper presents a GUI in which we have all the function for the image enhancement for the same image of input.