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TIP
2010
161views more  TIP 2010»
8 years 5 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
8 years 9 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
SCALESPACE
2015
Springer
3 years 6 months ago
Bilevel Image Denoising Using Gaussianity Tests
Abstract. We propose a new methodology based on bilevel programming to remove additive white Gaussian noise from images. The lowerlevel problem consists of a parameterized variatio...
Jérôme Fehrenbach, Mila Nikolova, Gab...
DAS
2010
Springer
8 years 9 months ago
Automatic unsupervised parameter selection for character segmentation
A major difficulty for designing a document image segmentation methodology is the proper value selection for all involved parameters. This is usually done after experimentations o...
Georgios Vamvakas, Nikolaos Stamatopoulos, Basilio...
MM
2005
ACM
243views Multimedia» more  MM 2005»
9 years 4 months ago
Image region entropy: a measure of "visualness" of web images associated with one concept
We propose a new method to measure “visualness” of concepts, that is, what extent concepts have visual characteristics. To know which concept has visually discriminative power...
Keiji Yanai, Kobus Barnard
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