PROJECT TITLE :

Super resolution reconstruction based on block matching and three-dimensional filtering with sharpening

ABSTRACT:

Super resolution (SR) reconstruction is usually thought of to be an inverse problem in the way that unknown high resolution pictures are searched for giving low resolution images. Recent studies have shown that the sparsity regularisation employed in compressed sensing (CS) reconstruction improves the performance of SR reconstruction. Furthermore, below the assumption that mutually similar regions exist within a natural image, non-local (NL) estimation produces accurate estimates for given degraded pictures. The incorporation of this NL estimation in SR reconstruction has been shown to yield higher reconstructions. In this study, the authors propose the employment of block matching and 3-dimensional filtering with sharpening estimation because the regularisation constraint below the CS-primarily based SR framework. This estimation collects similar blocks and adaptively filters them by the shrinkage of the remodel coefficients. It recovers detailed structures whereas attenuating ringing artefacts. In addition, a sharpening technique employed in the estimation additionally emphasises edges. Therefore, the proposed SR algorithm searches for the answer that is similar to this enhanced estimate from among all possible solutions. The experimental results demonstrate that the proposed methodology provides high-quality SR pictures, each numerically and subjectively.


Did you like this research project?

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


PROJECT TITLE : Enhanced Non-Local Total Variation Model and Multi-Directional Feature Prediction Prior for Single Image Super Resolution ABSTRACT: Single image super-resolution (SISR) approaches are widely recognised to play
PROJECT TITLE : Depth Super resolution by Transduction - 2015 ABSTRACT: This paper presents a depth superresolution (SR) method that uses each of a coffee-resolution (LR) depth image and a high-resolution (HR) intensity image.
PROJECT TITLE : Super Resolution Image Generation Using Wavelet Domain Interpolation With Edge Extraction via a Sparse Representation - 2014 ABSTRACT: This letter addresses the matter of generating a brilliant-resolution (SR)
PROJECT TITLE : Graph-Based Transistor Network GenerationMethod for Super gate Design - 2016 ABSTRACT: Transistor network optimization represents a good method of improving VLSI circuits. This paper proposes a novel technique
PROJECT TITLE :Debates on ultra-high-voltage synchronous power grid: the future super grid in China?ABSTRACT:This study presents the analysis of debates on the future super grid in China. The rapid increase of power demands and

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

Project Enquiry