Dong Hun Woo

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Image interpolation in the wavelet domain can be considered as the estimation of wavelet coefficients in the highest frequency subband. In this paper, a novel image interpolation method based on inter-scale dependency in the wavelet domain is proposed. In our method, the Gaussian mixture model (GMM) is used to estimate the magnitude of the wavelet(More)
The utility of electro-responsive smart materials has been limited by bubble generation (hydrolysis) during application of electrical fields and by biocompatibility issues. Here we describe the design of a device that overcomes these limitations by combining material properties, new design concepts, and microtechnology. 4-hydroxybutyl acrylate (4-HBA) was(More)
In this paper, a new model of the frequency modularized neural network for deinterlacing is proposed. In proposed method, image is divided into edge and flat regions by using its local frequency characteristic. And then, for each region, a neural network is assigned respectively. Since each region has similar pattern of information of the image, neural(More)
In this paper, an image interpolation method is proposed based on universal hidden Markov tree (HMT) model. The universal HMT model shows a good score for noise reduction in wavelet domain and furthermore, it needs no training procedure J. K. Romberg et al. (2001). In proposed method, the model is modified properly for image interpolation application as(More)
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