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
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