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» Blind Compressed Sensing
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144
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ICISP
2010
Springer
15 years 7 months ago
Total Variation Minimization with Separable Sensing Operator
Compressed Imaging is the theory that studies the problem of image recovery from an under-determined system of linear measurements. One of the most popular methods in this field i...
Serge L. Shishkin, Hongcheng Wang, Gregory S. Hage...
ICIP
2004
IEEE
16 years 5 months ago
Estimating and undoing rotation for print-scan resilient data hiding
This paper proposes a method to hide information into images that achieves robustness against printing and scanning with blind decoding. A significant contribution of this paper i...
Kaushal Solanki, Upamanyu Madhow, B. S. Manjunath,...
141
Voted
ICASSP
2008
IEEE
15 years 10 months ago
Compressive coded aperture superresolution image reconstruction
Recent work in the emerging field of compressive sensing indicates that, when feasible, judicious selection of the type of distortion induced by measurement systems may dramatica...
Roummel F. Marcia, Rebecca Willett
KES
2008
Springer
15 years 3 months ago
Driven by Compression Progress
I argue that data becomes temporarily interesting by itself to some self-improving, but computationally limited, subjective observer once he learns to predict or compress the data...
Jürgen Schmidhuber
TIT
2010
148views Education» more  TIT 2010»
14 years 10 months ago
Compressed genotyping
Abstract--Over the past three decades we have steadily increased our knowledge on the genetic basis of many severe disorders. Nevertheless, there are still great challenges in appl...
Yaniv Erlich, Assaf Gordon, Michael Brand, Gregory...