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Chapter and Conference Paper
Multi-channel Generative Adversarial Network for Parallel Magnetic Resonance Image Reconstruction in K-space
Magnetic Resonance Imaging (MRI) typically collects data below the Nyquist sampling rate for imaging acceleration. To remove aliasing artifacts, we propose a multi-channel deep generative adversarial network (...
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Chapter and Conference Paper
Fast Guided Global Interpolation for Depth and Motion
We study the problems of upsampling a low-resolution depth map and interpolating an initial set of sparse motion matches, with the guidance from a corresponding high-resolution color image. The common objectiv...
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Chapter and Conference Paper
A Contrast Enhancement Framework with JPEG Artifacts Suppression
Contrast enhancement is used for many algorithms in computer vision. It is applied either explicitly, such as histogram equalization and tone-curve manipulation, or implicitly via methods that deal with degrad...