A Blind Blur Detection Scheme Using Statistical Features of Phase Congruency and Gradient Magnitude

Joint Authors

Tiwari, Shamik
Shukla, V. P.
Biradar, S. R.
Singh, A. K.

Source

Advances in Electrical Engineering

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-07-15

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Electronic engineering

Abstract EN

The growing uses of camera-based barcode readers have recently gained a lot of attention.

This has boosted interest in no-reference blur detection algorithms.

Blur is an undesirable phenomenon which appears as one of the most frequent causes of image degradation.

In this paper we present a new no-reference blur detection scheme that is based on the statistical features of phase congruency and gradient magnitude maps.

Blur detection is achieved by approximating the functional relationship between these features using a feed forward neural network.

Simulation results show that the proposed scheme gives robust blur detection scheme.

American Psychological Association (APA)

Tiwari, Shamik& Shukla, V. P.& Biradar, S. R.& Singh, A. K.. 2014. A Blind Blur Detection Scheme Using Statistical Features of Phase Congruency and Gradient Magnitude. Advances in Electrical Engineering،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-478314

Modern Language Association (MLA)

Tiwari, Shamik…[et al.]. A Blind Blur Detection Scheme Using Statistical Features of Phase Congruency and Gradient Magnitude. Advances in Electrical Engineering No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-478314

American Medical Association (AMA)

Tiwari, Shamik& Shukla, V. P.& Biradar, S. R.& Singh, A. K.. A Blind Blur Detection Scheme Using Statistical Features of Phase Congruency and Gradient Magnitude. Advances in Electrical Engineering. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-478314

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-478314