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unctions related to image processing, including * images loading and generation. * filtering and blurring functions. * anisotropic and spacially variant filters. * non-linear filtering (median, LIC, bilateral). * High Dynamic Range image loading and equalization. * total variation image processing (denoising and decomposition). * non-wavelets image transforms such as local DCT.
Date : 2026-01-08 Size : 2.51mb User : Ahmed

ACCV的一篇论文以及源代码,不是我写的只是搬运到这里而已,具体请访问论文中作者的网页。改进Harris的角点检测,主要改进在:1、是在加权模板选择了各向异性的模板代替了各向同性的高斯模板;2、选择使用多尺度滤波器对图像进行处理,使算法具有一定的多尺度特性。-This is paper with code,which published on ACCV.I m not the author of this paper.If want to know more,please vistor the home page of the author.Major improvements of this paper is focus on: 1 Using a bilateral filters insteal of the isotropic Gaussian kernel for weighted template selection 2、Using Multi-Scale filter which make the algorithm can detect the multi-scale corner in the image
Date : 2026-01-08 Size : 422kb User : 董潇健

The Cross Bilateral filter can enhance the PSNR of multi focus images that is in image fuison. Bilateral filtering is a local, nonlinear and non- iterative technique which combines a classical low-pass filter with an edge stopping function that attenuates the filter kernel when the intensity difference between pixels is large. As both gray level similarities and geometric closeness of the neighboring pixels are considered, the weights of the filter depend not only on Mahalanobis distance but also on the distance in gray/color space. The advantage of the filter is that it smoothes the image while preserving edges using neighboring pixels. CBF considers both gray-level similarities and geometric closeness of neighboring pixels in image one to shape the filter kernel and filters the image two.
Date : 2026-01-08 Size : 21kb User : Naga Kishore
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