2020
DOI: 10.1049/iet-ipr.2020.0082
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Adaptive iterative global image denoising method based on SVD

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Cited by 3 publications
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“…When the threshold or rule selected are different, the reconstructed signal will be different 30 . References 31 and 32 provide spatial property discriminatory methods for deciding the singular value λi accept or reject, such as low-rank model method based on least squares, optimal estimation method based on minimum variance, simply fixed reconstruction coefficient method, and some other improved algorithms. According to the basic parameters of simulated signals in Sec.…”
Section: Optimal Background Clutter Suppression Scheme Designmentioning
confidence: 99%
“…When the threshold or rule selected are different, the reconstructed signal will be different 30 . References 31 and 32 provide spatial property discriminatory methods for deciding the singular value λi accept or reject, such as low-rank model method based on least squares, optimal estimation method based on minimum variance, simply fixed reconstruction coefficient method, and some other improved algorithms. According to the basic parameters of simulated signals in Sec.…”
Section: Optimal Background Clutter Suppression Scheme Designmentioning
confidence: 99%