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	Skeleton Marching-based Parallel Vascular Geometry Reconstruction Using Implicit Functions 期刊论文 OAI收割 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 30-43 作者: Quan Qi; Qing-De Li; Yongqiang Cheng; Qing-Qi Hong \| 收藏 \| 浏览/下载：21/0 \| 提交时间：2021/02/22 Vascular geometric reconstruction implicit modelling parallel computing high-performance high-accuracy.
	Electrochemically accessing ultrathin Co (oxy)-hydroxide nanosheets and operando identifying their active phase for the oxygen evolution reaction 期刊论文 OAI收割 ENERGY & ENVIRONMENTAL SCIENCE, 2019, 卷号: 12, 期号: 2, 页码: 739—746 作者: Zhou, J; Wang, Y; Su, XZ; Gu, SQ; Liu, RD \| 收藏 \| 浏览/下载：35/0 \| 提交时间：2019/12/30 HIGH-PERFORMANCE ELECTROCATALYSTS WATER OXIDATION SELF-RECONSTRUCTION ARRAYS OXIDES CATALYSTS
	2D normalized iterative hard thresholding algorithm for fast compressive radar imaging 期刊论文 OAI收割 Remote Sensing, 2017, 卷号: 9, 期号: 6, 页码: 1-16 作者: Yang WG(杨文广); Yang J(杨佳); Li GX(李恭新); Liu LQ(刘连庆); Wang WX(王文学) \| 收藏 \| 浏览/下载：45/0 \| 提交时间：2017/07/17 fast compressive radar imaging compressive sensing two dimensional normalized iterative hard thresholding (2D-NIHT) algorithm compressive radar imaging model reconstruction performance
	SuperDragon: A Heterogeneous Parallel System for Accelerating 3D Reconstruction of Cryo-Electron Microscopy Images 期刊论文 OAI收割 ACM TRANSACTIONS ON RECONFIGURABLE TECHNOLOGY AND SYSTEMS, 2015, 卷号: 8, 期号: 4, 页码: 22 作者: Tan, Guangming; Zhang, Chunming; Wang, Wendi; Zhang, Peiheng \| 收藏 \| 浏览/下载：33/0 \| 提交时间：2019/12/13 Design Performance Cryo-EM 3D reconstruction heterogeneous FPGA
	Adaptive resolution storage system based on LOG-POLAR transform for multi-target trackers (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Computer Application and System Modeling, ICCASM 2010, October 22, 2010 - October 24, 2010, Shanxi, Taiyuan, China 作者: Zhang Y. 收藏 \| 浏览/下载：22/0 \| 提交时间：2013/03/25 The main constrained problem of the video monitoring and storage system is the contradiction between large field of view and storage space limitations. Not all of the video information introduced by the image sensors need to be recorded especially for some tracking system which has appointed functions to track specifically kinds of targets. For instance the system not only works for single target if the monitor is appointed for human face tracking but also can work for multi-targets. High reconstruction resolution in the fovea region enables the successive application of recognition modules without sacrificing their performance the best system appears to be concentrating on human face only and all the others considered being background the low reconstruction resolution in the periphery helps to reduce the video data. 2010 IEEE. the background regions needn't to be recorded in detail. For this purpose this letter presents a real-time foveate storage system which efficiently represents the video image in log-polar coordinates with the foveate point centered on the target
	Lossless wavelet compression on medical image (EI CONFERENCE) 会议论文 OAI收割 4th International Conference on Photonics and Imaging in Biology and Medicine, September 3, 2005 - September 6, 2005, Tianjin, China 作者: Liu H.; Liu H.; Liu H. 收藏 \| 浏览/下载：42/0 \| 提交时间：2013/03/25 An increasing number of medical imagery is created directly in digital form. Such as Clinical image Archiving and Communication Systems (PACS). as well as telemedicine networks require the storage and transmission of this huge amount of medical image data. Efficient compression of these data is crucial. Several lossless and lossy techniques for the compression of the data have been proposed. Lossless techniques allow exact reconstruction of the original imagery while lossy techniques aim to achieve high compression ratios by allowing some acceptable degradation in the image. Lossless compression does not degrade the image thus facilitating accurate diagnosis of course at the expense of higher bit rates i.e. lower compression ratios. Various methods both for lossy (irreversible) and lossless (reversible) image compression are proposed in the literature. The recent advances in the lossy compression techniques include different methods such as vector quantization wavelet coding neural networks and fractal coding. Although these methods can achieve high compression ratios (of the order 50:1 or even more) they do not allow reconstructing exactly the original version of the input data. Lossless compression techniques permit the perfect reconstruction of the original image but the achievable compression ratios are only of the order 2:1 up to 4:1. In our paper we use a kind of lifting scheme to generate truly loss-less non-linear integer-to-integer wavelet transforms. At the same time we exploit the coding algorithm producing an embedded code has the property that the bits in the bit stream are generated in order of importance so that all the low rate codes are included at the beginning of the bit stream. Typically the encoding process stops when the target bit rate is met. Similarly the decoder can interrupt the decoding process at any point in the bil stream and still reconstruct the image. Therefore a compression scheme generating an embedded code can start sending over the network the coarser version of the image first and continues with the progressive transmission of the refinement details. Experimental results show that our method can get a perfect performance in compression ratio and reconstructive image.