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» Blind image deconvolution via dispersion minimization
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ISBI
2008
IEEE
14 years 6 months ago
Blind deconvolution for diffraction-limited fluorescence microscopy
Optical Sections of biological samples obtained from a fluorescence Confocal Laser Scanning Microscopes (CLSM) are often degraded by out-of-focus blur and photon counting noise. S...
Praveen Pankajakshan, Bo Zhang, Laure Blanc-F&eacu...
PRL
2006
112views more  PRL 2006»
13 years 5 months ago
Resolution enhancement via probabilistic deconvolution of multiple degraded images
We present a maximum a posteriori solution to the problem of obtaining a high-resolution image from a set of degraded low-resolution images of the same scene. The proposed algorit...
Filip Sroubek, Jan Flusser
CIMAGING
2008
172views Hardware» more  CIMAGING 2008»
13 years 6 months ago
Blind reconstruction of sparse images with unknown point spread function
We consider the image reconstruction problem when the original image is assumed to be sparse and when partial knowledge of the point spread function (PSF) is available. In particu...
Kyle Herrity, Raviv Raich, Alfred O. Hero III
ICASSP
2009
IEEE
14 years 10 hour ago
A wavelet-based quadratic extension method for image deconvolution in the presence of poisson noise
Iterative optimization algorithms such as the forward-backward and Douglas-Rachford algorithms have recently gained much popularity since they provide efficient solutions to a wi...
Nelly Pustelnik, Caroline Chaux, Jean-Christophe P...
TIFS
2008
148views more  TIFS 2008»
13 years 5 months ago
Digital Image Forensics via Intrinsic Fingerprints
Digital imaging has experienced tremendous growth in recent decades, and digital camera images have been used in a growing number of applications. With such increasing popularity a...
Ashwin Swaminathan, Min Wu, K. J. Ray Liu