1 March 2009 Perceptual ringing metric to evaluate the quality of images restored using blind deconvolution algorithms
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Abstract
Linear space-invariant image restoration algorithms often introduce ringing effects near sharp intensity transitions. A ringing metric to evaluate the quality of images restored using iterative deconvolution algorithms is presented. According to the types of ringing artifacts, two ringing metrics are used to assess the restored images based on the analysis of ringing artifacts. An overall ringing metric is presented based on the two ringing metrics. The experimental results validate that the proposed method performs well over a wide range of restoration image ringing level assessments. Consequently, the proposed model has a good agreement with the ratings from an observer in subjective experiments.
©(2009) Society of Photo-Optical Instrumentation Engineers (SPIE)
Bo-Xin Zuo, De-Lie Ming, and Jin-Wen Tian "Perceptual ringing metric to evaluate the quality of images restored using blind deconvolution algorithms," Optical Engineering 48(3), 037004 (1 March 2009). https://doi.org/10.1117/1.3095766
Published: 1 March 2009
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CITATIONS
Cited by 15 scholarly publications.
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KEYWORDS
Point spread functions

Error analysis

Image filtering

Deconvolution

Molybdenum

Image processing

Edge detection

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