A STUDY ON REGULARIZATION FUNCTIONS AND REGULATION PARAMETERS IN IMAGE RESTORATION

Abstract

The aim of this paper is to apply the regularization functions namely TV norm, l1 norm and l0 norm and regularization parameters with these norms in image restoration. This class of problems results from combining a linear observation model with a non-quadratic regularizer. Improved Iterative Shrinkage Thresholding algorithm (IISTA) and Iterative Shrinkage Thresholding algorithm (ISTA) are employed for comparison. These algorithms are performed through a recursive application of two simple procedures such as linear filtering and soft thresholding.

Authors and Affiliations

A. K. KUMARESH

Keywords

Related Articles

ROBOTIC PROCESS AUTOMATION IN SOFTWARE PERFORMANCE TESTING WORKLOAD MODELING

Software Performance Testing(SPT) is the kind of Non-Functional Testing(NFT) to prove the to be delivered system by the project team/product team is working as expected with respect to system health, consistency, endur...

PERMUTATION LABELING OF JOINS OF KITE GRAPH

Let G= (V, E) be a graph with p vertices and q edges. A graph G={V, E} with p vertices and q edges is said to be a Permutation labelling graph if there exists a bijection function f from set of all vertices V G( ) to...

A REVIEW ON DATA MINING AND BIGDATA

The recent years have seen an exponential growth of data generation this enormous amount of data has brought new kind of problem. The existing data mining techniques are unable to process the Big Data or they are not e...

IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORK DATA MINING ALGORITHM: A CASE STUDY OF BIRTH REGISTRATION DATA

The scope of different applications of Artificial Neural Network is immense. In recent times, Artificial Neural Network has been used in different type of applications. The use of Artificial Neural Network in Medical S...

ENHANCED CLUSTER HEAD MANAGEMENT IN LARGE SCALE WIRELESS SENSOR NETWORK USING PARTICLE SWARM OPTIMIZATION (PSO) ON THE BASIS OF DISTANCE, DENSITY & ENERGY

Wireless Sensor Networks (WSNs) are utilized for a plethora of applications such as weather forecasting, monitoring systems, surveillance, and so on. The critical issues of the WSN are energy constraints, limited memor...

Download PDF file
  • EP ID EP46564
  • DOI 10.34218/IJCET.10.3.2019.012
  • Views 222
  • Downloads 0

How To Cite

A. K. KUMARESH (2019). A STUDY ON REGULARIZATION FUNCTIONS AND REGULATION PARAMETERS IN IMAGE RESTORATION. International Journal of Computer Engineering & Technology (IJCET), 10(3), -. https://europub.co.uk/articles/-A-46564