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Description: 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
- [motiondeblur] - motion- blurred image recovery, the exis
- [MTF] - This is the modulation transfer function
- [SVD] - Own the singular value decomposition de-
- [Matlab_Experiment] - Realize Matlab Fast Fourier Transform, F
- [qiyizhi] - Singular Value Decomposition matlab proc
- [ImageProcess] - The basic method of image processing sou
- [music1snr] - Different signal to noise ratio of MUSIC
- [wenli] - The use of multiple images matlab Fourie
- [OFDMCommunicationSystemMatalabCode] - A relatively complete simulation of the
- [musi111] - In the case of different signal to noise
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改进的奇异值分解法估计图像点扩散函数.pdf
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