_nrdc-non-rigid-dense-correspondence-with-applications-for-image-enhancement.jpg "NRDC: Non-Rigid Dense Correspondence with Applications for Image Enhancement from video tonal Video Screenshot Preview")
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⏲ Duration: 3 min 15 sec
✓ Published: 08-May-2011
✓ Published: 08-May-2011
Description:
This short video demonstrates a new efficient method for recovering reliable local sets of dense correspondences between two images with some shared content. nnWe demonstrate the usefulness of our method using three applications for automatic example-based photograph enhancement: adjusting the tonal characteristics of a source image to match a reference, transferring a known mask to a new image, and kernel estimation for image deblurring.nnThe project is a collaboration between Hebrew University
This short video demonstrates a new efficient method for recovering reliable local sets of dense correspondences between two images with some shared content. nnWe demonstrate the usefulness of our method using three applications for automatic example-based photograph enhancement: adjusting the tonal characteristics of a source image to match a reference, transferring a known mask to a new image, and kernel estimation for image deblurring.nnThe project is a collaboration between Hebrew University
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