Wavelet-Based Single Image Super-Resolution With An Overall Enhancement Procedure - 2017 PROJECT TITLE :Wavelet-Based Single Image Super-Resolution With An Overall Enhancement Procedure - 2017ABSTRACT:In this paper, we have a tendency to address the problem of generating an excellent-resolution image primarily based on a dictionary of low- and high-resolution exemplars from a single input image in wavelet domain with a overall enhancement procedure. Most methods extract different kinds of features in low-resolution image and high-resolution images to establish the mapping relation. But in this paper, we have a tendency to implement wavelet-rework to extract the same reasonably feature to form the mapping more affordable. Meanwhile we have a tendency to implement native Lipschitz regularity constraint and structure-keeping constraint to preserve the native singularity and edge in our methodology. Compared with current state-of-art strategies on customary pictures, our technique obtains each visual and PSNR improvement. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Retinex-Based Perceptual Contrast Enhancement In Images Using Luminance Adaptation - 2017 Color Demosaicking Via Nonlocal Tensor Representation - 2017