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147
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ICIP
2007
IEEE
16 years 4 months ago
Compressed Sensing Image Reconstruction Via Recursive Spatially Adaptive Filtering
We introduce a new approach to image reconstruction from highly incomplete data. The available data are assumed to be a small collection of spectral coef?cients of an arbitrary li...
Karen O. Egiazarian, Alessandro Foi, Vladimir Katk...
ASPLOS
1996
ACM
15 years 6 months ago
Analysis of Branch Prediction Via Data Compression
Branch prediction is an important mechanism in modern microprocessor design. The focus of research in this area has been on designing new branch prediction schemes. In contrast, v...
I-Cheng K. Chen, John T. Coffey, Trevor N. Mudge
132
Voted
TMI
2010
251views more  TMI 2010»
14 years 9 months ago
3-D Scalable Medical Image Compression With Optimized Volume of Interest Coding
We present a novel 3-D scalable compression method for medical images with optimized volume of interest (VOI) coding. The method is presented within the framework of interactive te...
Victor Sanchez, Rafeef Abugharbieh, Panos Nasiopou...
112
Voted
TSP
2010
14 years 9 months ago
Compressed sensing performance bounds under Poisson noise
Abstract--This paper describes performance bounds for compressed sensing (CS) where the underlying sparse or compressible (sparsely approximable) signal is a vector of nonnegative ...
Maxim Raginsky, Rebecca Willett, Zachary T. Harman...
119
Voted
ICIP
2008
IEEE
15 years 9 months ago
On optimal royalty costs for video compression
Modern video compression includes a mature set of codecs, tools, and techniques that correspond to a variety of coding efficiencies and royalty costs in video delivery. In early ...
Ankur Saxena, Onur G. Guleryuz, M. Reha Civanlar