Image Pro-Correction for Defocus Blur Image Based on Wiener Filtering
Qiong Li, Yong Hang Tai, Zai Qing Chen, Qiu Yue Yang, Bin Zhuo · Applied Mechanics and Materials · 2013
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.