T
Tony F. Chan
Researcher at Hong Kong University of Science and Technology
Publications - 437
Citations - 51198
Tony F. Chan is an academic researcher from Hong Kong University of Science and Technology. The author has contributed to research in topics: Domain decomposition methods & Image restoration. The author has an hindex of 82, co-authored 437 publications receiving 48083 citations. Previous affiliations of Tony F. Chan include Kent State University & University of California.
Papers
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Active contours without edges
Tony F. Chan,Luminita A. Vese +1 more
TL;DR: A new model for active contours to detect objects in a given image, based on techniques of curve evolution, Mumford-Shah (1989) functional for segmentation and level sets is proposed, which can detect objects whose boundaries are not necessarily defined by the gradient.
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Weighted essentially non-oscillatory schemes
TL;DR: A new version of ENO (essentially non-oscillatory) shock-capturing schemes which is called weighted ENO, where, instead of choosing the "smoothest" stencil to pick one interpolating polynomial for the ENO reconstruction, a convex combination of all candidates is used.
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A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model
Luminita A. Vese,Tony F. Chan +1 more
TL;DR: A new multiphase level set framework for image segmentation using the Mumford and Shah model, for piecewise constant and piecewise smooth optimal approximations, and validated by numerical results for signal and image denoising and segmentation.
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Total variation blind deconvolution
Tony F. Chan,Chiu-Kwong Wong +1 more
TL;DR: A blind deconvolution algorithm based on the total variational (TV) minimization method proposed is presented, and it is remarked that psf's without sharp edges, e.g., Gaussian blur, can also be identified through the TV approach.
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Mathematical models for local nontexture inpaintings
Tony F. Chan,Jianhong Shen +1 more
TL;DR: The broad applications of the inpainting models are demonstrated through restoring scratched old photos, disocclusion in vision analysis, text removal, digital zooming, and edge-based image coding.