PROJECT TITLE :

An efficient sparse optimization algorithm for weighted '0 shearlet-based method for image deblurring - 2017

ABSTRACT:

Sparsity is one in every of the key ideas that enables the signal recovery at a considerably lower subsample rate than required by the Nyquist-Shannon sampling theorem. By employing a multistate rework, like wavelets and shearlets system, the sparse representation of signals will be obtained. To more exploit the sparsity of the reconstructed signal, a generalized gradient regularizer is introduced to the proposed model. Motivated by the idea of iterative support detection (ISD), an optimization algorithm framework for image deblurring is given. The algorithm aims to resolve a reweighted l0-minimization downside in split Bregman framework, and therefore the weights used for the following iteration are set by an ISD method. The advantage of this process is that it forms an iterative-feedback mechanism, which improves the effectiveness for solution looking. A series of experiments are presented to demonstrate the provision of the proposed framework. Experimental results show that this methodology yields vital improvement in peak signal-to-noise ratio in comparison to different counterparts. But, the numerical experiments also show that a lot of computing time is needed because of the use of the redundant multiscale system.


Did you like this research project?

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


PROJECT TITLE :Efficient Secure Outsourcing of Large-Scale Sparse Linear Systems of Equations - 2018ABSTRACT:Solving large-scale sparse linear systems of equations (SLSEs) is one in all the foremost common and basic problems in
PROJECT TITLE :Distributed Feature Selection for Efficient Economic Big Data Analysis - 2018ABSTRACT:With the rapidly increasing popularity of economic activities, a large amount of economic data is being collected. Although
PROJECT TITLE :Efficient Wideband DOA Estimation Through Function Evaluation Techniques - 2018ABSTRACT:This Project presents an economical analysis methodology for the functions involved within the computation of direction-of-arrival
PROJECT TITLE :Efficient System Tracking With Decomposable Graph-Structured Inputs and Application to Adaptive Equalization With Cyclostationary Inputs - 2018ABSTRACT:This Project introduces the graph-structured recursive least
PROJECT TITLE :Efficient Partial-Sum Network Architectures for List Successive-Cancellation Decoding of Polar Codes - 2018ABSTRACT:List successive cancellation decoder (LSCD) architectures have been recently proposed for the decoding

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

Project Enquiry