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The Total Variation of an image $ I $ can be calculated in one of 3 methods (See The Meaning of the Terms Isotropic and Anisotropic in the Total Variation Framework): Anisotropic TV - $ \operatorname{TV} \left( I \right) = \sum_{x} \| \nabla I (x) \|_1 $. Isotropic TV - $ \operatorname{TV} \left( I \right) = \sum_{x} \| \nabla I (x) \|_2 $. Isotropic ...


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Recently I have seen the paper Hui Yin, Yuanhao Gong, Guoping Qiu - Side Window Filtering. They suggest a really simple filtering framework for Edge Preserving Filter: Basically, what they suggest is filtering the image with a set of filter based on the Box Filter. This filter set is basically composed of 8 filters with different orientations and sub sets ...


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The bilateral filter is a slow filter as it has to dynamically adapt its kernel based on local image statistics. To overcome this limitation, researchers came up Bilateral Grids. It performs the same edge-preserving smoothening an order of magnitude faster.


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Range Image: Distances of points to another point, mapped on to a sphere (x,y,z). Range images are for x,y and z dimensions. As I understand, z is relative to a global point coordinate (as are x and y). The term has been used interchangeably with point cloud [2]. Depth Map: Distances of points to a plane (such as the focal plane) (x,y,z). Depth image is ...


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