文件名称:Image-Fusion-using-Cross-Bilateral-Filtering-base
- 所属分类：
- matlab例程
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2015-03-10
- 文件大小：
- 21kb
- 下载次数：
- 0次
- 提 供 者：
- Naga K******
- 相关连接：
- 无
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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.
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下载文件列表
Image Fusion using Cross Bilateral Filtering based on Mahalanobis Distance measure\1A.jpg
..................................................................................\1B.jpg
..................................................................................\cbf_fusion.m
..................................................................................\cbf_fusion_pgm.m
..................................................................................\covarf.m
..................................................................................\cross_bilateral_filt2Df.m
..................................................................................\fusion_perform_fn.m
..................................................................................\gauss_ker2D.m
..................................................................................\imhist_fn.m
..................................................................................\joint_hist_fn.m
..................................................................................\objective_fusion_perform_fn.m
..................................................................................\per_extn_im_fn.m
..................................................................................\sobel_fn.m
Image Fusion using Cross Bilateral Filtering based on Mahalanobis Distance measure