Blur Image Estimation in the Frequency Domain by using Image Quality Index

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Author(s) K.Srinivasa Reddy | N.Udaya Kumar | G.Appala Naidu | k.Geetha Reddy
Pages 28-35
Volume 2
Issue 1
Date January, 2012
Keywords Blur estimation, Fourier analysis, Subjective tests.

Image blur occurs often when using a camera due to handshake or jitter. Although there exist many motion de-blurring algorithms in the literature, the computational complexities of these algorithms and the assumptions considered make them unsuitable for deployment on a cell-phone camera processor. This project presents a new reference-free image quality index based on spectral analysis is proposed. The main idea is based on exploiting the limitations of the Human Visual System (HVS) in blur detection; the proposed method consists of adding blur to the test image and measuring its impact. The impact is measured using radial analysis in the frequency domain. The efficiency of the proposed method is tested objectively by comparing it to some well known algorithms and in terms of correlation with subjective scores.

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