中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共5条，第1-5条

帮助

条数/页：排序方式：
	Efficient rate control technique for CCSDS image encoding (EI CONFERENCE) 会议论文 OAI收割 IEEE 2nd International Conference on Computing, Control and Industrial Engineering, CCIE 2011, August 20, 2011 - August 21, 2011, Wuhan, China Jin L. 收藏 \| 浏览/下载：103/0 \| 提交时间：2013/03/25 For the limitation of data transmission bandwidth and real time transmission demand generally image compression is required to implement the precise and flexible rate control algorithm. Rate control is an important issue in the image compression field. This paper considers the problem of rate allocation to each encoded segment for CCSDS image compression. One straightforward method is to allocate an equal amount of rate to each segment based on the average of the total number of compressed bytes. The obvious drawback of this method is that different segment will be reconstructed to different quality so the overall quality of the reconstructed image will not be optimized. For the shortage of the original rate control method as to improve the overall quality of the reconstructed image an improved rate control algorithm is proposed for CCSDS image encoding. The key component of the proposed rate control method is the appropriate rate allocation. Experiments on the test images show that the PSNR can be increased at about 0.3dB on average compared to the original algorithm. Therefore experimental results confirm the effectiveness of the proposed algorithm in terms of objective evaluation and the rate-distortion performance of the reconstructed image is improved. 2011 IEEE.
	Extended selective encoding of scan slices for reducing test data and test power 期刊论文 iSwitch采集 Ieice transactions on information and systems, 2010, 卷号: E93d, 期号: 8, 页码: 2223-2232 作者: Liu, Jun; Han, Yinhe; Li, Xiaowei 收藏 \| 浏览/下载：49/0 \| 提交时间：2019/05/10 Selective encoding Test data compression Test power reduction Flexible grouping X-filling
	Extended Selective Encoding of Scan Slices for Reducing Test Data and Test Power 期刊论文 OAI收割 IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2010, 卷号: E93D, 期号: 8, 页码: 2223-2232 作者: Liu, Jun; Han, Yinhe \| 收藏 \| 浏览/下载：40/0 \| 提交时间：2019/12/16 selective encoding test data compression test power reduction flexible grouping X-filling
	Image compression based on contourlet and no lists SPIHT (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China 作者: Zhang S. 收藏 \| 浏览/下载：52/0 \| 提交时间：2013/03/25 The volume of raw image data captured by the high resolution camera is extremely huge. Thus the efficient image compression method should be used to decrease the bit rate. The image compression method based on wavelet is used more widely nowadays. However two dimensional wavelet is only the tensor product of the one dimensional wavelet whose support region of basis function is extended from interval to square. Contourlet is an image multiscale geometric analysis tool which could represent image sparsely and has strong capability of nonlinear approximation. The basis function of contourlet is multidirectional and anisotropic. Nevertheless contourlet is redundant. So the non-redundant Wavelet Based Contourlet Transform (WBCT) is used in this paper. The SPIHT algorithm is very efficient way to coding the significant coefficients. And the improved no lists SPIHT is more easy to implemented by hardware. Image compression method based on the combination of both wavelet based contourlet transform and no lists SPIHT coding is proposed in the paper. Experiment shows that compared to wavelet based scheme the contourlet scheme can reserve the texture of the image. For barbara test image when coding at low bit rate the PSNR can improve about 0.2dB. 2010 IEEE.
	SoC test data compression technique based on RLE-G (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Advanced Measurement and Test, AMT 2010, May 15, 2010 - May 16, 2010, Sanya, China 作者: Liu W.; Yang L.; Yang L.; Zheng X. 收藏 \| 浏览/下载：40/0 \| 提交时间：2013/03/25 Test data compression has been an effective way to reduce test data volume and test time as well as to solve automatic test equipment (ATE) memory and bandwidth limitation. We analyze the limitations of current test data compression algorithm and draw on the previous experience to deduce an optimal compression coding model suitable for SoC test data. In addition in this paper we make full use of the relevance of the test vectors and the advantages of statistical coding to present an efficient test data compression method RLE-G based on the coding model and give the RLE-G the optimal compression efficiency of the boundary conditions and realization steps. The experimental results for ISCAS 89 benchmark circuits demonstrate RLE-G have the excellent advantages of high compression ratio. (2010) Trans Tech Publications.