Abstract : To improve the performance of image restoration algorithms , a modified Singular Value De2 [ ] [ ] composition SVD method was proposed to estimate the Point Spread Function PSF of an imaging system. Using the discrete image degradation model , a block2based SVD filter scheme was applied for the image denoising with an automatically determined singular value rank. After the spectra of PSF singular vectors were estimated under an exponential model for the averaged spectra of un2degraded image singular vectors , the IFFT was used to get the time2domain estimation of the PSF. The experi2 mental results show that this proposed method can be applied to estimate the PSF of the imaging sys2 tem under a wide SNR range and its performance is better than the original method. It may be used as an effective method for the image preprocessing in image restoration problems. [ ] Key words: image restoration Point Spread Function PSF block2based Singular Value Decomposi2

改进的奇异值分解法估计图像点扩散函数.pdf

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