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CORR
2011
Springer
148views Education» more  CORR 2011»
12 years 12 months ago
How well can we estimate a sparse vector?
The estimation of a sparse vector in the linear model is a fundamental problem in signal processing, statistics, and compressive sensing. This paper establishes a lower bound on t...
Emmanuel J. Candès, Mark A. Davenport
ICIP
2003
IEEE
14 years 6 months ago
JPEG compression history estimation for color images
Given a color image previously compressed using JPEG, we estimate the image's JPEG compression history components including the color transformation, subsampling, and the qua...
Ramesh Neelamani, Ricardo L. de Queiroz, Zhigang F...
DCC
2004
IEEE
14 years 4 months ago
Coding for Fast Access to Image Regions Defined by Pixel Range
Many technical imaging applications, like coding "images" of digital elevation maps, require extracting regions of compressed images in which the pixel values are within...
Amir Said, Sehoon Yea, William A. Pearlman
INTERSPEECH
2010
12 years 11 months ago
Towards a robust face recognition system using compressive sensing
An application of compressive sensing (CS) theory in imagebased robust face recognition is considered. Most contemporary face recognition systems suffer from limited abilities to ...
Allen Y. Yang, Zihan Zhou, Yi Ma, Shankar Sastry
CC
2007
Springer
123views System Software» more  CC 2007»
13 years 4 months ago
An Improved Analysis of Linear Mergers
Mergers are procedures that, with the aid of a short random string, transform k (possibly dependent) random sources into a single random source, in a way that ensures that if one ...
Zeev Dvir, Amir Shpilka