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» Combined image signal processing for CMOS image sensors
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85
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CVPR
2004
IEEE
15 years 11 months ago
Brightness Perception, Dynamic Range and Noise: A Unifying Model for Adaptive Image Sensors
Many computer vision applications have to cope with large dynamic range and changing illumination conditions in the environment. Any attempt to deal with these conditions at the a...
Vladimir Brajovic
ICIP
2006
IEEE
15 years 11 months ago
An Architecture for Compressive Imaging
Compressive Sensing is an emerging field based on the revelation that a small group of non-adaptive linear projections of a compressible signal contains enough information for rec...
Michael B. Wakin, Jason N. Laska, Marco F. Duarte,...
ICIP
2005
IEEE
15 years 3 months ago
Digital "bullet scratches" for images
The problem investigated in this paper is identification of sensor that was used to obtain a given digital image. We show that the high-medium frequency component of the sensor pa...
Jan Lukás, Jessica J. Fridrich, Miroslav Go...
CVPR
2012
IEEE
12 years 12 months ago
Compressive depth map acquisition using a single photon-counting detector: Parametric signal processing meets sparsity
Active range acquisition systems such as light detection and ranging (LIDAR) and time-of-flight (TOF) cameras achieve high depth resolution but suffer from poor spatial resolutio...
Andrea Colaco, Ahmed Kirmani, Gregory A. Howland, ...
69
Voted
ICASSP
2011
IEEE
14 years 1 months ago
Combined compressed sensing and parallel mri compared for uniform and random cartesian undersampling of K-space
Both compressed sensing (CS) and parallel imaging effectively reconstruct magnetic resonance images from undersampled data. Combining both methods enables imaging with greater und...
Daniel S. Weller, Jonathan R. Polimeni, Leo Grady,...