Research on Image Sharpness Evaluation

Kang Song; Jun Bi Liao; Yi Tong Dou

doi:10.4028/www.scientific.net/AMR.753-755.3051

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 753-755Research on Image Sharpness Evaluation

Research on Image Sharpness Evaluation

Abstract:

According to Wiener-Khintchine theorem, autocorrelation function of an image was proved that can be used as sharpness evaluation function. An image sharpness index k is proposed and the relationship between content of high frequency components of an image and the width d of its autocorrelation function main lobe was constructed through Fourier transformation. The direct ration relationship between the sharpness index k of an image and the width d of its autocorrelation function main lobe was also validated by experiments. Theoretical analysis and experiment results indicate that d increases when an image is blurry and d decreases when the image is clear.

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Periodical:

Advanced Materials Research (Volumes 753-755)

Pages:

3051-3055

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.753-755.3051

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Online since:

August 2013

Authors:

Kang Song, Jun Bi Liao, Yi Tong Dou

Keywords:

Autocorrelation Function, Image Power Spectrum, Image Sharpness Evaluation Function, Image Sharpness Index, Width D of Autocorrelation Main Lobe

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