My Account | Careers | Downloads | Blog

PROJECT TITLE :

Non-local feature back-projection for image super-resolution

ABSTRACT:

Image super-resolution (SR) for a single low-resolution image is a crucial and challenging task in Image Processing. During this study, the authors propose a unique non-local feature back-projection method for image SR, which can effectively scale back jaggy and ringing artefacts common, in general, iterative back-projection (IBP) methodology. In their technique, the target high-resolution (HR) image is obtained by projecting reconstructed errors back to HR image iteratively. To optimise the initial HR image and constrain anisotropic errors propagation during IBP method, an efficient non-native feature interpolation algorithm is designed. Specially, edge data is employed as constraints to form the interpolation surface preserve higher shape. Furthermore, as post-processing, non-local similarities are utilised to get rid of noise and irregularities induced by errors propagation. Experimental results show that their methodology achieves higher performance than state-of-the-art ways in terms of each quantitative metrics and visual qualities.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : LIDAR and Position-Aided mmWave Beam Selection With Non-Local CNNs and Curriculum Training ABSTRACT: Due to the narrow mmWave beamwidth and high user mobility, efficient millimeter wave (mmWave) beam selection
PROJECT TITLE : Detection of Peach Disease Image Based on Asymptotic Non-Local Means and PCNN-IPELM ABSTRACT: This paper proposes a peach disease detection method based on the asymptotic non-local means (ANLM) image algorithm
PROJECT TITLE : Multipatch Unbiased Distance Non-Local Adaptive Means With Wavelet Shrinkage ABSTRACT: Many existing non-local means (NLM) approaches either utilise Euclidean distance to quantify the similarity between patches,
PROJECT TITLE : NLH A Blind Pixel-Level Non-Local Method for Real World Image Denoising ABSTRACT: Using non-local self similarity (NSS) as an image denoising prior is powerful. Patch-level NSS priors are used in most existing
PROJECT TITLE : A Non-Local Dual-Domain Approach to Cartoon and Texture Decompositioní_ ABSTRACT: Cartoon and texture decomposition is the subject of this article. As microtextures are characterised by their power spectrum, the

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry