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DeblurringImagesUsingaRegularizedFilter
- 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
Regularized_Newton_Residual_algorithm
- 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 i
Adaptivelyregularizedconstrainedtotalleast-squares
- 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
HyBR
- 图像复原中hybrid的源程序，里面包括了各种hybrid-Hybrid Regularized method in image restoration
Kang
- 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
Regularized-Filter
- Project on Image Restoration
Matlab-image-processing
- 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 l