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TIP
2002
130views more  TIP 2002»
15 years 3 months ago
Forward-and-backward diffusion processes for adaptive image enhancement and denoising
Signal and image enhancement is considered in the context of a new type of diffusion process that simultaneously enhances, sharpens, and denoises images. The nonlinear diffusion co...
Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi
TSMC
2002
110views more  TSMC 2002»
15 years 3 months ago
Complexity reduction for "large image" processing
We present a method for sampling feature vectors in large (e.g., 2000 5000 16 bit) images that finds subsets of pixel locations which represent "regions" in the image. Sa...
Nikhil R. Pal, James C. Bezdek
180
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ICIP
2010
IEEE
15 years 2 months ago
Anisotropic diffusion-based detail-preserving smoothing for image restoration
It is important in image restoration to remove noise while preserving meaningful detail such as blurred thin edges and low-contrast fine features. The existing edgepreserving smoo...
Shin-Min Chao, Du-Ming Tsai, Wei-Yao Chiu, Wei-Che...
HVEI
2009
15 years 1 months ago
Perceptually significant spatial pooling techniques for image quality assessment
Spatial pooling strategies used in recent Image Quality Assessment (IQA) algorithms have generally been that of simply averaging the values of the obtained scores across the image...
Anush K. Moorthy, Alan C. Bovik
CVPR
2011
IEEE
15 years 1 months ago
Learning Better Image Representations Using 'Flobject Analysis'
Unsupervised learning can be used to extract image representations that are useful for various and diverse vision tasks. After noticing that most biological vision systems for int...
Inmar Givoni, Patrick Li, Brendan Frey