Image editing tasks concern either global changes (color/intensity corrections, filters, deformations) or local changes concerned to a selection. Here we are interested in achieving local changes, ones that are restricted to a region manually selected (ROI), in a seamless and effortless manner. The extent of the changes ranges from slight distortions to complete replacement by novel content [PM03].
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Given an original color image, two differently colored versions of this image can be mixed seamlessly.
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Multiplication factor is between .5 to 2.5.
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.
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This is useful to highlight under-exposed foreground objects or to reduce specular reflections.
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.
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The algorithm assumes that the color of the source image is close to that of the destination. This assumption means that when the colors don’t match, the source image color gets tinted toward the color of the destination image.
[PM03] | Patrick Perez, Michel Gangnet, Andrew Blake, “Poisson image editing”, ACM Transactions on Graphics (SIGGRAPH), 2003. |