用多分辨分析构造正交小波基的方法

本文介绍了利用多分辨分析构造正交小波基的方法和步骤。     

MRI and PET images fusion based on human retina model

The diagnostic potential of brain positron emission tomography (PET) imaging is limited by low spatial resolution. For solving this problem we propose a technique for the fusion of PET and MRI images. This fusion is a trade-off between the spectral information extracted from PET images and the spatial information extracted from high spatial resolution MRI. The proposed method can control this trade-off. To achieve this goal, it is necessary to build a multiscale fusion model, based on the retinal cell photoreceptors model. This paper introduces general prospects of this model, and its application in multispectral medical image fusion. Results showed that the proposed method preserves more spectral features with less spatial distortion. Comparing with hue-intensity-saturation (HIS), discrete wavelet transform (DWT), wavelet-based sharpening and wavelet-à trous transform methods, the best spectral and spatial quality is only achieved simultaneously with the proposed feature-based data fusion method. This method does not require resampling images, which is an advantage over the other methods, and can perform in any aspect ratio between the pixels of MRI and PET images.     

Feature-based multiresolution techniques for product design

INTRODUCTION 3D CAD systems for the feature-based B-rep solid models (Choi et al., 2002; Kim et al., 2003; 2005; Koo and Lee, 2002; Lee et al., 2004; Lee, 2005a) are becoming more suitable for CAD when compared with the conventional polygon-based mul- tiresolution modelling in computer graphics (Cignoni et al., 1998; Schr?der et al., 1992). As illustrated in Fig.1b, the object of the feature-based multiresolution modelling is a solid model where the suppressed ob- jects are form feat…     

正交小波变换算法的实现

本文详细介绍了通过多分辨分析和小波分解实现正交小波变换的基本原理,并给出了实现算法.     

以非整数为伸缩因子的MRA的若干性质

传统的多尺度分析(MRA)通常是以整数2作为伸缩因子的,但如果要分析声音信号,有时需要考虑一个更窄的频率段,就要用非整数作为伸缩因子。文章讨论了以32为伸缩因子的小波正交基的若干性质。     

小波在遥感图像分析中的应用与发展

介绍了小波变换在影像压缩、多源遥感影像融合、影像去噪、影像边缘检测与纹理信息提取等方面的应用特点与效果,并对小波在遥感影像分析中的应用趋势,以及一些尚待解决和进一步研究的问题进行了探讨。     

Frame rate up-conversion using multiresolution critical point filters with occlusion refinement

In this paper, multiresolution critical-point filters （CPFs） are employed to image matching for frame rate up-conversion （FRUC）. By CPF matching, the dense motion field can be obtained for representing object motions accurately. However, the elastic motion model does not hold in the areas of occlusion, thus resulting in blur artifacts in the interpolated frame. To tackle this problem, we propose a new FRUC scheme using an occlusion refined CPF matching interpolation （ORCMI）. In the proposed approach, the occlusion refinement is based on a bidirectional CPF mapping. And the intermediate frames are generated by the bidirectional interpolation for non-occlusion pixels combined with unidirectional projection for the occlusion pixels. Ex- perimental results show that ORCMI improves the visual quality of the interpolated frames, especially at the occlusion regions. Compared to the block matching based FRUC algorithm, ORCM1 can achieve 1-2 dB PSNR gain for standard video sequences.