Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
Vol 5, No 2: June 2017

A Pattern Classification Based approach for Blur Classification

Shamik Tiwari (Mody University)

Article Info

Publish Date
01 Jun 2017

Abstract

Blur type identification is one of the most crucial step of image restoration. In case of blind restoration of such images, it is generally assumed that the blur type is known prior to restoration of such images. However, it is not practical in real applications. So, blur type identification is extremely desirable before application of blind restoration technique to restore a blurred image. An approach to categorize blur in three classes namely motion, defocus, and combined blur is presented in this paper. Curvelet transform based energy features are utilized as features of blur patterns and a neural network is designed for classification. The simulation results show preciseness of proposed approach.

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Journal Info
Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
Website

Abbrev

IJEEI

Publisher

IAES Indonesia Section and Partners

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

Indonesian Journal of Electrical Engineering and Informatics (IJEEI) is a peer reviewed International Journal in English published four issues per year (March, June, September and December). The aim of Indonesian Journal of Electrical Engineering and Informatics (IJEEI) is to publish high-quality ...