Wiener filter based on the image to blur
Image restoration,refers to the removal or loss in the process of getting digital image degradation of the image quality,image restoration technology is the key to meet the requirements of the point spread function,degradation model is an ill-posed integral equations,in the frequency domain,when H (U,V) less or equal to zero,the noise will be amplified,the degraded image and interference in H (U,V) value of the spectrum will be small to restore the image influence.In view of the point spread function put forward Wiener filtering algorithm,the noise lead to ill-posed integral with specified signal-to-noise ratio to reduce image restoration effects,through the IPT toolbox for fuzzy image restoration,image quality to achieve the anticipated effect.
Deconvolution Image restoration PSF Autocorrelation function
Chao Da Chen Si Qing Zhang Chui Xin Chen
Tianhe College of Guangdong Polytechnical Normal University,Guangdong Guangzhou 510540 Zhengzhou Institute of Science & Technology Henan zhengzhou 450064
国际会议
广州
英文
1567-1570
2012-11-16（万方平台首次上网日期，不代表论文的发表时间）