Image Enhancement using Vector Valued Image Processing

The images which consist of RGB color images is known as vector valued images. This images is the multimodal images which shows strong inter-channel correlation among each other. We treat this images by the new notion by introducing the spatial gradient channels. We can obtained the vector valued through minimizing the cost functional that penalizes the large angles. After this we introduce the Gateaux derivative that leads to diffusion gradient decent scheme. The cost functional gives the several examples of denoising and demosaicking. These shows that demosaicking will gives visually perfect image for the low noise by parallel level set preceded by denoising. We get the result that after introducing all the idea to the image we will yield the better result than any other approaches