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ECCV
2008
Springer
16 years 5 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
ARTCOM
2009
IEEE
15 years 1 months ago
Adaptive Encoding Algorithm for Multispectral Images
A new adaptive multispectral image compression technique based on the regions identified is proposed. The algorithm is adaptive in the sense that according to the data type class ...
Deepa Sankarapandi
ICIP
2000
IEEE
16 years 5 months ago
Joint Space-Frequency Segmentation, Entropy Coding and the Compression of Ultrasound Images
Joint space-frequency segmentation is a relatively new image compression technique that finds the rate-distortion optimal representation of an image from a large set of possible s...
Ed Chiu, Jacques Vaisey, M. Stella Atkins
TIFS
2008
194views more  TIFS 2008»
15 years 3 months ago
Detection of Double-Compression in JPEG Images for Applications in Steganography
This paper presents a method for detection of double JPEG compression and a maximum likelihood estimator of the primary quality factor. These methods are essential for construction...
Tomás Pevný, Jessica J. Fridrich
CORR
2011
Springer
179views Education» more  CORR 2011»
14 years 7 months ago
Sparsity based sub-wavelength imaging with partially incoherent light via quadratic compressed sensing
: We demonstrate that sub-wavelength optical images borne on partially-spatially-incoherent light can be recovered, from their far-field or from the blurred image, given the prior ...
Yoav Shechtman, Yonina C. Eldar, Alexander Szameit...