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This paper examines the relationship between wavelet-based image processing algorithms and variational problems. Algorithms are derived as exact or approximate minimizers of variational problems; in particular, we show that wavelet shrinkage can be considered the exact minimizer of the following problem. Given an image F defined on a square I, minimize over(More)
This paper describes a novel technique for embedding watermark bits into digital audio signals. The proposed method is based on the patchwork algorithm on the wavelet domain and does not need the original audio signal in the watermark detection. It uses the wavelet transform generated by the low-pass analysis filter h n whose length is 2 and h 0 = h 1 = 1(More)
Over the last decade, numerous companies have tried to adopt a commercial ERP package in the worldwide e-business and e-commerce environment. However, most of commercial ERP packages are designed for a large-scaled company so that it is difficult to adopt a commercial ERP package in terms of small and medium-size companies. Therefore, it is necessary for a(More)
Human parvovirus B19 (B19) infection has been known to cause chronic anemia, pure red cell aplasia (PRCA), glomerulopathy, and allograft dysfunction in kidney transplant (KT) recipients. The aim of this study was to evaluate the incidence and clinical significance of B19 infection in KT recipients. A total of 537 serum samples from 167 KT recipients were(More)
Because the Radon transform is a smoothing transform, any noise in the Radon data becomes magnified when the inverse Radon transform is applied. Among the methods used to deal with this problem is the wavelet-vaguelette decomposition (WVD) coupled with wavelet shrinkage, as introduced by Donoho (1995). We extend several results of Donoho and others here.(More)
Ordered subset expectation-maximization (OSEM) method in positron emission tomography (PET) has been very popular recently. It is an iterative algorithm and provides images with superior noise characteristics compared to conventional filtered backprojection (FBP) algorithms. Due to the lack of smoothness in images in OSEM iterations, however, some type of(More)
We conducted positron emission tomography (PET) image reconstruction experiments using the wavelet transform. The Wavelet-Vaguelette decomposition was used as a framework from which expressions for the necessary wavelet coefficients might be derived, and then the wavelet shrinkage was applied to the wavelet coefficients for the reconstruction (WVS). The(More)
[Purpose] In this study, we examined the effects of virtual reality dance exercise on the balance, activities of daily living and depressive disorder status of Parkinson's disease patients. [Subjects] Twenty patients were assigned either the experimental group (n = 10) or the control group (n = 10). All participants received 30 minutes of neurodevelopment(More)
For deblurring images corrupted by random valued noise, two-phase methods first select likely-to-be reliables (data that are not corrupted by random valued noise) and then deblur images only with selected data. The selective use of data in two-phase methods, however, often causes missing data artifacts. In this paper, to suppress these missing data(More)