International Journal of Image, Graphics and Signal Processing (IJIGSP)
IJIGSP Vol. 6, No. 6, 8 May 2014
Cover page and Table of Contents: PDF (size: 1118KB)
Wavelet Based Intentional Blurring Variance Scheme for Blur Detection in Barcode Images
Full Text (PDF, 1118KB), PP.43-49
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Author(s)
Shamik Tiwari
1,*
V. P. Shukla
1
S. R. Biradar
1
Ajay Kumar Singh
1
Index Terms
Blur, Intentional blur detection, Wavelet, Barcode images
Abstract
Blur is an undesirable phenomenon which appears as one of the most frequent causes of image degradation. Automatic blur detection is extremely enviable to restore barcode image or simply utilize them. That is to assess whether a given image is blurred or not. To detect blur, many algorithms have been proposed. These algorithms are different in their performance, time complexity, precision, and robustness in noisy environments. In this paper, we present an efficient method blur detection in barcode images, with no reference perceptual blur metric using wavelets.
Cite This Paper
Shamik Tiwari, V. P. Shukla, S.R. Biradar, Ajay Kr. Singh,"Wavelet Based Intentional Blurring Variance Scheme for Blur Detection in Barcode Images", IJIGSP, vol.6, no.6, pp.43-49, 2014. DOI: 10.5815/ijigsp.2014.06.06
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