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VLSISP
2002
114views more  VLSISP 2002»
14 years 11 months ago
Image processing using cellular neural networks based on multi-valued and universal binary neurons
Multi-valued and universal binary neurons (MVN and UBN) are the neural processing elements with the complex-valued weights and high functionality. It is possible to implement an a...
Igor N. Aizenberg, Constantine Butakoff
MVA
2007
126views Computer Vision» more  MVA 2007»
15 years 1 months ago
Image Contrast Enhancement by Analysis on Embedded Surfaces of Images
Image contrast enhancement plays an important role in many machine vision applications. In this study, we propose a new method for edge enhancement based on analysis on embedded s...
Li Tian, Sei-ichiro Kamata
IDA
2003
Springer
15 years 4 months ago
Obtaining Quality Microarray Data via Image Reconstruction
Abstract. This paper introduces a novel method for processing spotted microarray images, inspired from image reconstruction. Instead of the usual approach that focuses on the signa...
Paul O'Neill, George D. Magoulas, Xiaohui Liu
ICIP
2008
IEEE
15 years 6 months ago
AM-FM image filters
We introduce a multicomponent invertible AM-FM image transform and use it to define new nonlinear AM-FM filters for performing modulation domain image processing. The key elemen...
Chuong T. Nguyen, Joseph P. Havlicek
SIAMIS
2008
279views more  SIAMIS 2008»
14 years 11 months ago
A New Alternating Minimization Algorithm for Total Variation Image Reconstruction
We propose, analyze and test an alternating minimization algorithm for recovering images from blurry and noisy observations with total variation (TV) regularization. This algorith...
Yilun Wang, Junfeng Yang, Wotao Yin, Yin Zhang