Image Pro-Correction for Defocus Blur Image Based on Wiener Filtering

Qiong Li; Yong Hang Tai; Zai Qing Chen; Qiu Yue Yang; Bin Zhuo

doi:10.4028/www.scientific.net/AMM.397-400.2257

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 397-400Image Pro-Correction for Defocus Blur Image Based...

Image Pro-Correction for Defocus Blur Image Based on Wiener Filtering

Abstract:

Image restoration is an important application of the digital image processing. Unlike traditional restoration algorithms that operate on a blurred image to recover the original, we propose a technique that the correction should be applied to the original image before blurring. To accomplish this, we approximate the Point-Spread-Function (PSF) of different defocus blur images by the circular disk. According to the estimated PSF, the original image is pro-processed based on Wiener filtering and High Dynamic Range (HDR) compression. Experiments results show that using this technique can help ameliorate the visual blur and the defocus images finally have a sharp vision.

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Periodical:

Applied Mechanics and Materials (Volumes 397-400)

Pages:

2257-2261

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.397-400.2257

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Online since:

September 2013

Authors:

Qiong Li, Yong Hang Tai, Zai Qing Chen, Qiu Yue Yang, Bin Zhuo

Keywords:

Circular Disk, HDR, PSF, Wiener Filtering

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