Noisy Video Frames Contrast Enhancement for Multimedia Photo-Journalism

Video frames enhancement techniques for photographic, magazine and newsletter and multimedia journalists are a great challenge, especially in displaying or publishing a good quality of scenes from various kind of information sources because of poor contrast of brightness pictures from light sensitivity and noise such as impulse noise and Gaussian noise to an image caused by capture device (camera or scanner) defects and unprofessional video recording behaviors. Therefore, it is necessary to enhance the video frames for grayscale and true Color images and then, use as still images/pictures. Digital image enhancement techniques provide very large number of choices for improving the visual quality of images. There are various techniques of video frames enhancement and noise reduction. This paper contributes to combine the filter based and Successive Mean Quantization Transform (SMQT) algorithm for better image quality of digital video frames by minimizing properties such as gain and bias. We will measure the results by using Peak Signal-to-Noise Ratio (PSNR) to explain ratio between the higher and lowest possible values of a changeable quantity and we will implement these techniques by using MATLAB.