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This paper presents an efficient forward inter prediction method for video coding, targeting at low delay applications. The method applies the idea of template matching averaging (TMA) to the conventional motion compensated prediction (MCP). TMA forms the final predictor of a target block by averaging multiple numbers of candidates. While one of the candidate is specified by a motion vector, the remaining...
We have developed a prototype Compton camera for in vivo imaging by using semiconductor imaging devices, which has been proved to be successful techniques for the observation of high-energy astrophysical phenomena. In this camera, double-sided Si strip detectors (DSSDs) serve as scatterers and pixelized CdTe detectors (pCdTe) serve as absorbers. Some Compton images were acquired with radioisotopes...
This paper proposes perceptual segmentation of natural color images using a fuzzy-based hierarchical algorithm and its application to the segmentation of dermoscopy images. A fuzzy-based homogeneity measure makes a fusion of the color features and the texture features. The proposed hierarchical segmentation method is performed in four stages: simple splitting, local merging, global merging and boundary...
We propose vector quantization (VQ) with variable block size for color image compression. Variable block size for VQ has so far been implemented using quad-tree decomposition. This method focus on homogeneity of local regions of an image. We consider the complex regions of an image to be more essential than homogeneous regions because complex regions may have a wealth of information. We propose variable...
We introduced discrete wavelet transform (DWT) to vector quantization (VQ) for image compression. DWT is multi-resolution analysis, and a signal energy concentrates to specific DWT coefficients. This characteristics is useful for image compression. DWT coefficients are compressed using VQ with variable block size. To perform effective compression, blocks are merged by the algorithm proposed in this...
The authors extend their previous computer simulation for radionuclide cardiac studies to eight components. The eight components correspond to the superior vena cava, the right atrium, the right ventricle, the pulmonary artery, the lung, the left atrium, the left ventricule, and the aorta. The ability and limitations of the method to recover exact components are discussed.<<ETX>>
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