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CORR
2011
Springer
282views Education» more  CORR 2011»
14 years 6 months ago
Fast Linearized Bregman Iteration for Compressive Sensing and Sparse Denoising
We propose and analyze an extremely fast, efficient and simple method for solving the problem: min{ u 1 :Au=f,u∈Rn }. This method was first described in [1], with more details i...
Stanley Osher, Yu Mao, Bin Dong, Wotao Yin
ECCV
2010
Springer
15 years 4 months ago
Compressive Acquisition of Dynamic Scenes
Abstract. Compressive sensing (CS) is a new approach for the acquisition and recovery of sparse signals and images that enables sampling rates significantly below the classical Ny...
VCIP
2001
110views Communications» more  VCIP 2001»
15 years 17 days ago
Lossless and near-lossless image compression with successive refinement
We present a technique that provides progressive transmission and near-lossless compression in one single framework. The proposed technique produces a bitstream that results in pr...
Ismail Avcibas, Nasir D. Memon, Bülent Sankur...
MM
1994
ACM
143views Multimedia» more  MM 1994»
15 years 3 months ago
Quad-Tree Segmentation for Texture-Based Image Query
In this paper we propose a technique for segmenting images by texture content with application to indexing images in a large image database. Using a quad-tree decomposition, textu...
Jonathan M. Smith, Shih-Fu Chang
CVPR
2012
IEEE
13 years 1 months ago
Compressive depth map acquisition using a single photon-counting detector: Parametric signal processing meets sparsity
Active range acquisition systems such as light detection and ranging (LIDAR) and time-of-flight (TOF) cameras achieve high depth resolution but suffer from poor spatial resolutio...
Andrea Colaco, Ahmed Kirmani, Gregory A. Howland, ...