Constrained least squares filter (CLS) Filter

版本 1.0.0 (2.1 MB) 作者: Mahmoud Safian
The main goal of this project is to apply signals and systems to filter 2-D signals.
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更新时间 2023/1/21

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a constrained least squares filter based on the explanations below and apply it to the image in the "noisy_blur_img.mat"
F(u, v) = the reconstructed image spectrum,
G(u, v) = the degraded image spectrum,
H(u, v) = the degradation function,
H*(u, v) = the complex conjugate of H(u,v),
|H(u, v)|^2= H*(u, v)H(u, v), and
P(u, v) = the spectrum of the Laplacian kernel. The Laplacian kernel p(x, y) is equal to [0 -1 0; -1 4 -1, 0 -1 0]

引用格式

Mahmoud Safian (2024). Constrained least squares filter (CLS) Filter (https://www.mathworks.com/matlabcentral/fileexchange/123665-constrained-least-squares-filter-cls-filter), MATLAB Central File Exchange. 检索来源 .

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版本 已发布 发行说明
1.0.0