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Computational Photography

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Name	Description / Applications	Modules
cvColorChange	Given an original color image, two differently colored versions of this image can be mixed seamlessly.	OpenCV
cvDecolor	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
cvDenoise_TVL1	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
cvDetailEnhance	This filter enhances the details of a particular image.	OpenCV
cvEdgePreservingFilter	Filtering is the fundamental operation in image and video processing. Edge-preserving smoothing filters are used in many different applications.	OpenCV
cvFastNlMeansDenoising	Perform image denoising using Non-local Means Denoising algorithm.	OpenCV
cvFastNlMeansDenoisingColored	Perform image denoising using Non-local Means Denoising algorithm.	OpenCV
cvFastNlMeansDenoisingMulti	Perform image denoising using Non-local Means Denoising algorithm.	OpenCV
cvIlluminationChange	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
cvSeamlessClone	Image editing tasks concern either global changes (color/intensity corrections, filters, deformations) or local changes concerned to a selection.	OpenCV
cvTextureFlattening	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