Search - regularized image restoration

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[Other] DeblurringImagesUsingaRegularizedFilter DL : 0: Regularized deconvolution can be used effectively when constraints are applied on the recovered image (e.g., smoothness) and limited information is known about the additive noise. The blurred and noisy image is restored by a constrained least square restoration algorithm that uses a regularized filter.
Update : 2025-03-15 Size : 2kb Publisher : ayla
[Special Effects] Regularized_Newton_Residual_algorithm DL : 0: 一种使用牛顿迭代的超分辨算法，该算法以2的对数提高传统Landweber算法的运算速度，附带文章。-The problem of poor resolution of acquired image in the passive millimeter wave imaging stems mainly from antenna size limitations, thus necessitating efficient post-processing to achieve resolution improvements. A novel image super-resolution algorithm, Regularized-Newton-Residual (RNR) algorithm, is proposed for Passive Millimeter wave imaging (PMMW). First Newton inversion algorithm is introduced into the field of image restoration. The iterative scheme of Newton algorithm is deduced based on normal equation. Then, residual method is employed to achieve better performance and implement spectrum extrapolation. Experimental results demonstrate the algorithm is insensitive to noise distribution. Furthermore it has high super-resolution rate and fast convergence speed.
Update : 2025-03-15 Size : 6kb Publisher : 姜正茂
[Special Effects] Adaptivelyregularizedconstrainedtotalleast-squares DL : 0: 自适应正则化的最小二乘图像复原算法，基于一定的参考价值-Adaptive regularized least squares image restoration algorithm, based on some value
Update : 2025-03-15 Size : 214kb Publisher : 吴军
[Special Effects] HyBR DL : 0: 图像复原中hybrid的源程序，里面包括了各种hybrid-Hybrid Regularized method in image restoration
Update : 2025-03-15 Size : 3.77mb Publisher :
[Special Effects] Kang DL : 0: 自适应正则化超分辨率重建是： M. G. Kang这人写的IEEE上发表的论文可以参考下算法- General Choiceof the Regularization Functional in Regularized Image Restoration
Update : 2025-03-15 Size : 26kb Publisher : wendy
[Industry research] Regularized-Filter DL : 0: Project on Image Restoration
Update : 2025-03-15 Size : 1kb Publisher : Krishna
[Other] Matlab-image-processing DL : 0: Deblurring Images Using a Regularized Filter This example shows how to use regularized deconvolution to deblur images. Regularized deconvolution can be used effectively when constraints are applied on the recovered image (e.g., smoothness) and limited information is known about the additive noise. The blurred and noisy image is restored by a constrained least square restoration algorithm that uses a regularized filter.
Update : 2025-03-15 Size : 1kb Publisher : bbcz