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TIP
2010
161views more  TIP 2010»
12 years 11 months ago
Automatic Parameter Selection for Denoising Algorithms Using a No-Reference Measure of Image Content
Across the field of inverse problems in image and video processing, nearly all algorithms have various parameters which need to be set in order to yield good results. In practice, ...
Xiang Zhu, Peyman Milanfar
ICIP
2010
IEEE
13 years 2 months ago
A no-reference image content metric and its application to denoising
A no-reference image metric based on the singular value decomposition of local image gradients is proposed in this paper. This metric provides a quantitative measure of true image...
Xiang Zhu, Peyman Milanfar
ICIP
2002
IEEE
14 years 6 months ago
A no-reference perceptual blur metric
In this paper, we present a no-reference blur metric for images and video. The blur metric is based on the analysis of the spread of the edges in an image. Its perceptual signific...
Frédéric Dufaux, Pina Marziliano, St...
MM
2010
ACM
191views Multimedia» more  MM 2010»
13 years 2 months ago
Quantifying tag representativeness of visual content of social images
Social tags describe images from many aspects including the visual content observable from the images, the context and usage of images, user opinions and others. Not all tags are ...
Aixin Sun, Sourav S. Bhowmick
ARVLSI
2001
IEEE
267views VLSI» more  ARVLSI 2001»
13 years 8 months ago
Focal-Plane Image and Beam Quality Sensors for Adaptive Optics
Control of adaptive optical elements for real-time wavefront phase distortion compensation is a rapidly growing field of research and technology development. Wavefront correction ...
Marc Cohen, Gert Cauwenberghs, Mikhail Vorontsov, ...