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» Efficient MR Image Reconstruction for Compressed MR Imaging
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118
Voted
ICIP
2006
IEEE
16 years 3 months ago
Low-Rate Reduced Complexity Image Compression using Directionlets
The standard separable two-dimensional (2-D) wavelet transform (WT) has recently achieved a great success in image processing because it provides a sparse representation of smooth...
Vladan Velisavljevic, Baltasar Beferull-Lozano, Ma...
ICIP
2000
IEEE
16 years 3 months ago
Virtual Reality Using the Concentric Mosaic: Construction, Rendering and Data Compression
This paper proposes a new image based rendering technique called concentric mosaic for virtual reality applications. It is constructed by capturing vertical slit images when a cam...
Heung-Yeung Shum, King To Ng, Shing-Chow Chan
111
Voted
ICASSP
2009
IEEE
15 years 8 months ago
Distributed compressive video sensing
Low-complexity video encoding has been applicable to several emerging applications. Recently, distributed video coding (DVC) has been proposed to reduce encoding complexity to the...
Li-Wei Kang, Chun-Shien Lu
ICIP
2006
IEEE
16 years 3 months ago
Robust Kernel Regression for Restoration and Reconstruction of Images from Sparse Noisy Data
We introduce a class of robust non-parametric estimation methods which are ideally suited for the reconstruction of signals and images from noise-corrupted or sparsely collected s...
Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar
117
Voted
ICIP
2010
IEEE
14 years 11 months ago
Gradient projection for linearly constrained convex optimization in sparse signal recovery
The 2- 1 compressed sensing minimization problem can be solved efficiently by gradient projection. In imaging applications, the signal of interest corresponds to nonnegative pixel...
Zachary T. Harmany, Daniel Thompson, Rebecca Wille...