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Computational Photography
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| Icon | Name | Description / Applications | Modules | |
|---|---|---|---|---|
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cvColorChange | 
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Given an original color image, two differently colored versions of this image can be mixed seamlessly. |
OpenCV |
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cvDecolor |
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Transforms a color image to a grayscale image. It is a basic tool in digital printing, stylized black-and-white photograph rendering, and in many single channel image processing applications. |
OpenCV |
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cvDenoise_TVL1 |
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Primal-dual algorithm is an algorithm for solving special types of variational problems (that is, finding a function to minimize some functional). As the image denoising, in particular, may be seen as the variational problem, primal-dual algorithm then can be used to perform denoising and this is exactly what is implemented. |
OpenCV |
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cvDetailEnhance |
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This filter enhances the details of a particular image. |
OpenCV |
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cvEdgePreservingFilter |
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Filtering is the fundamental operation in image and video processing. Edge-preserving smoothing filters are used in many different applications. |
OpenCV |
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cvFastNlMeansDenoising |
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Perform image denoising using Non-local Means Denoising algorithm. |
OpenCV |
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cvFastNlMeansDenoisingColored |
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Perform image denoising using Non-local Means Denoising algorithm. |
OpenCV |
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cvFastNlMeansDenoisingMulti |
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Perform image denoising using Non-local Means Denoising algorithm. |
OpenCV |
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cvIlluminationChange |
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Applying an appropriate non-linear transformation to the gradient field inside the selection and then integrating back with a Poisson solver, modifies locally the apparent illumination of an image. |
OpenCV |
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cvSeamlessClone |
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Image editing tasks concern either global changes (color/intensity corrections, filters, deformations) or local changes concerned to a selection. |
OpenCV |
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cvTextureFlattening |
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By retaining only the gradients at edge locations, before integrating with the Poisson solver, one washes out the texture of the selected region, giving its contents a flat aspect. Here Canny Edge Detector is used. |
OpenCV |
