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Chapter and Conference Paper
Denoising by Anisotropic Diffusion of Independent Component Coefficients
In this paper, we propose an image denoising method that incorporates anisotropic diffusion and independent component analysis (ICA) techniques. An image is decomposed into independent component coefficients, ...
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Chapter and Conference Paper
A Distributed Computing Service for Neural Networks and Its Application to Flood Peak Forecasting
How to exploit current information techniques for rapidly and accurately building a fittest neural network becomes increasingly significant for flood peak forecasting. This paper firstly designs a distributed ...
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Chapter and Conference Paper
Limited Recurrent Neural Network for Superresolution Image Reconstruction
The paper proposes a new method for image resolution enhancement from multiple images using the limited recurrent neural network (LRNN) approach, which is a set of collectively operating feed-forward neural ne...
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Chapter and Conference Paper
SuperResolution Image Reconstruction Using a Hybrid Bayesian Approach
There are increasing demands for high-resolution (HR) images in various applications. Image superresolution (SR) reconstruction refers to methods that increase image spatial resolution by fusing information fr...
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Chapter and Conference Paper
A Novel Sports Video Logo Detector Based on Motion Analysis
Replays are key cues for events detection in sport videos since they are the immediate consequence of highlights or important events happened in sports. In many sports videos, replays are usually sandwiched wi...