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TSMC
2002
110views more  TSMC 2002»
15 years 2 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
PR
2007
85views more  PR 2007»
15 years 1 months ago
Grey-level hit-or-miss transforms - part II: Application to angiographic image processing
The hit-or-miss transform (HMT) is a fundamental operation on binary images, widely used since 40 years. As it is not increasing, its extension to grey-level images is not straigh...
Benoît Naegel, Nicolas Passat, Christian Ron...
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TIP
2002
130views more  TIP 2002»
15 years 2 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
ICIP
2004
IEEE
16 years 4 months ago
A fast and adaptive method for image contrast enhancement
In this paper we describe a fast approach for image contrast enhancement, based on localized contrast manipulation. Our approach is not only fast and easy to implement, but also h...
Zeyun Yu, Chandrajit L. Bajaj
ICIP
2010
IEEE
15 years 11 days ago
Learning denoising bounds for noisy images
In [1], we derived an expression for the fundamental limit to image denoising assuming that the noise-free image is available. In this paper, we propose an estimator for the bound...
Priyam Chatterjee, Peyman Milanfar