Wavelet Based Intentional Blurring Variance Scheme for Blur Detection in Barcode Images

Автор: Shamik Tiwari, V. P. Shukla, S.R. Biradar, Ajay Kr. Singh

Журнал: International Journal of Image, Graphics and Signal Processing(IJIGSP) @ijigsp

Статья в выпуске: 6 vol.6, 2014 года.

Бесплатный доступ

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.

Blur, Intentional blur detection, Wavelet, Barcode images

Короткий адрес: https://sciup.org/15013307

IDR: 15013307

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