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» An Architecture for Compressive Imaging
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ICASSP
2009
IEEE
14 years 4 months ago
Real-time dynamic MR image reconstruction using Kalman Filtered Compressed Sensing
In recent work, Kalman Filtered Compressed Sensing (KF-CS) was proposed to causally reconstruct time sequences of sparse signals, from a limited number of “incoherent” measure...
Chenlu Qiu, Wei Lu, Namrata Vaswani
TIFS
2008
194views more  TIFS 2008»
13 years 10 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
ICASSP
2011
IEEE
13 years 1 months ago
Localized filtering for artifact removal in compressed images
The paper proposes a novel method for coding artifact reduction in compressed images. For removing blocking artifacts, a localized DCT-based filter with condition on the similari...
Dung Trung Vo, Truong Q. Nguyen
PERCOM
2010
ACM
13 years 8 months ago
Resilient image sensor networks in lossy channels using compressed sensing
—Data loss in wireless communications greatly affects the reconstruction quality of a signal. In the case of images, data loss results in a reduction in quality of the received i...
Scott Pudlewski, Arvind Prasanna, Tommaso Melodia
ICIP
2008
IEEE
14 years 4 months ago
Image representation by compressed sensing
This paper addresses the image representation problem in visual sensor networks. We propose a new image representation scheme based on compressive sensing (CS) because compressive...
Bing Han, Feng Wu, Dapeng Wu