Open Access
1 May 2010 Novel no-reference image blur metric based on block-based discrete cosine transform statistics
Yu Han, Xiaoming Xu, Yunze Cai
Author Affiliations +
Abstract
A new algorithm for no-reference blurred image quality assessment is proposed. This metric is based on block-based discrete cosine transform statistics and linear prediction method. We compare the performance of the proposed method with four blur metrics on three famous databases and our work shows the best results.
©(2010) Society of Photo-Optical Instrumentation Engineers (SPIE)
Yu Han, Xiaoming Xu, and Yunze Cai "Novel no-reference image blur metric based on block-based discrete cosine transform statistics," Optical Engineering 49(5), 050501 (1 May 2010). https://doi.org/10.1117/1.3420235
Published: 1 May 2010
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CITATIONS
Cited by 6 scholarly publications and 1 patent.
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KEYWORDS
Image quality

Databases

Point spread functions

Data modeling

Optical engineering

Cameras

Digital cameras

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