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ICASSP
2011
IEEE
13 years 16 days ago
Sparsity-based defect pixel compensation for arbitrary camera raw images
In high quality imaging even tiny distortions as small as a single pixel are visible and can not be accepted. Although the production quality of CMOS image sensors is very high, f...
Michael Schöberl, Jürgen Seiler, Bernhar...
ICIP
2009
IEEE
13 years 6 months ago
Markovian clustering for the non-local means image denoising
The non-local means filter is one of powerful denoising methods which allows participation of far, but proper pixels in the denoising process. Although the weights of non-similar ...
Rachid Hedjam, Reza Farrahi Moghaddam, Mohamed Che...
ISCAS
2006
IEEE
107views Hardware» more  ISCAS 2006»
14 years 2 months ago
A CMOS image sensor for low light applications
— We describe and analyze a novel CMOS pixel for high speed, low light imaging applications. The new pixel achieves lower dark current and noise and increased gain in comparison ...
Honghao Ji, Pamela Abshire
CIVR
2009
Springer
253views Image Analysis» more  CIVR 2009»
14 years 3 months ago
Spatial extensions to bag of visual words
The Bag of Visual Words (BoV) paradigm has successfully been applied to image content analysis tasks such as image classification and object detection. The basic BoV approach ove...
Ville Viitaniemi, Jorma Laaksonen
TIP
2010
279views more  TIP 2010»
13 years 3 months ago
Generalized Assorted Pixel Camera: Postcapture Control of Resolution, Dynamic Range, and Spectrum
We propose the concept of a generalized assorted pixel (GAP) camera, which enables the user to capture a single image of a scene and, after the fact, control the tradeoff between s...
Fumihito Yasuma, Tomoo Mitsunaga, Daisuke Iso, Shr...