A novel Entropy based Denoising algorithm on color videos

Video signals are considered as a sequence of twodimensional images, projected from a dynamic threedimensional scene onto the image plane of a video camera. Luminance and chrominance are two attributes that describe the color sensation in a video sequence of a human being. Luminance refers to the perceived brightness of the light, while chrominance corresponds to the color tone of the light. Numerous still images and video denoising algorithms have been developed to enhance the quality of the signals over the last few decades. Traditional fuzzy based denoising algorithm fails to operate the noise on the high resolution images and motion datasets. In this proposed work, a novel noise prediction and elimination based filter model was proposed on the high resolution image datasets with varying features.