Application of least square estimation technique for image restoration using signal-noise correlation constraint
B Chanda, BB Chaudhuri… - IEEE Transactions on …, 1984 - ieeexplore.ieee.org
B Chanda, BB Chaudhuri, DD Majumder
IEEE Transactions on Systems, Man, and Cybernetics, 1984•ieeexplore.ieee.orgA linear degradation model for digital image restoration has been considered. It is assumed
that the noise is additive, uncorrelated and independent of the degradation process and also
of original image. A new objective criterion has been used for the least square restoration
method proposed here. The criterion is to minimize the correlation between image and noise
gray levels. The method can be implemented in the Fourier domain and is computationally
attractive. The test results on a chromosome picture have been demonstrated for different …
that the noise is additive, uncorrelated and independent of the degradation process and also
of original image. A new objective criterion has been used for the least square restoration
method proposed here. The criterion is to minimize the correlation between image and noise
gray levels. The method can be implemented in the Fourier domain and is computationally
attractive. The test results on a chromosome picture have been demonstrated for different …
A linear degradation model for digital image restoration has been considered. It is assumed that the noise is additive, uncorrelated and independent of the degradation process and also of original image. A new objective criterion has been used for the least square restoration method proposed here. The criterion is to minimize the correlation between image and noise gray levels. The method can be implemented in the Fourier domain and is computationally attractive. The test results on a chromosome picture have been demonstrated for different signal-to-noise power ratio.
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