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ICIP
2006
IEEE
16 years 1 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
VCIP
2003
161views Communications» more  VCIP 2003»
15 years 1 months ago
Inter-view wavelet compression of light fields with disparity-compensated lifting
We propose a novel approach that uses disparity-compensated lifting for wavelet compression of light fields. Disparity compensation is incorporated into the lifting structure for...
Chuo-Ling Chang, Xiaoqing Zhu, Prashant Ramanathan...
ICIP
1998
IEEE
15 years 4 months ago
Implicit Coding for Very Low Bit Rate Image Compression
W e explore a n image compression scheme that does not rely o n the usual additive decomposition of a n input image into a set of predefined spanning functions. The proposed schem...
Yuk-Wong Choi, Nguyen T. Thao
ICIP
2008
IEEE
16 years 1 months ago
Face hallucination VIA sparse coding
In this paper, we address the problem of hallucinating a high resolution face given a low resolution input face. The problem is approached through sparse coding. To exploit the fa...
Jianchao Yang, Hao Tang, Yi Ma, Thomas S. Huang
ICASSP
2011
IEEE
14 years 3 months ago
Video anomaly recovery from compressed spectral imaging
This paper addresses the problem of video anomaly recovery from a sequence of spectrally compressed video frames. Analysis of anomalies occurring in both time and spectrum is impo...
Ana B. Ramirez, Henry Arguello, Gonzalo R. Arce