Improving Quality using Vector Valued Image process

Abstract

Vector valued image processing can be implemented in many fields like Computer – Aided Design, Multimedia image reconstruction, Medical and Virtual Reality applications. From the Literature review, it is found out Vector valued image processing has been done only in color images. This image processing may be used to enhance the images without any distortions but it is difficult to enhance the medical image which is in gray scale. In this paper, Vector valued image processing, an image is segmented and the pixels are arranged in groups using Gradient Vector Flow (GVF) technique. Here, Active Surface method is used to crop a local structure tensor of an image which in turn enables the circulation of the Gradient Vector Flow equation. Our proposed system provides improved enhancement approach that can be proved using Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index (SSIM) values.
Keywords- Demosaicking; Denoising; Gray images; Parallel level sets; Vector processing.