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浏览/检索结果: 共30条，第1-10条 帮助

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Dynamical Conventional Neural Network Channel Pruning by Genetic Wavelet Channel Search for Image Classification 期刊论文  OAI收割
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2021, 卷号: 15, 页码: 11
作者:  Chen, Lin;  Gong, Saijun;  Shi, Xiaoyu;  Shang, Mingsheng
  |  收藏  |  浏览/下载：40/0  |  提交时间：2021/12/28
Comparison of methods for a 3-D density inversion from airborne gravity gradiometry 期刊论文  OAI收割
STUDIA GEOPHYSICA ET GEODAETICA, 2018, 卷号: 62, 期号: 1, 页码: 1-16
作者:  Ye, Zhourun;  Tenzer, Robert;  Sneeuw, Nico
  |  收藏  |  浏览/下载：23/0  |  提交时间：2018/12/29
Data Compression of Time Series Three-Dimensional Fluorescence Spectroscopy 期刊论文  OAI收割
SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 卷号: 37, 期号: 4, 页码: 1163-1167
作者:  Yu Shao-hui;  Xiao Xue;  Xu Ge
收藏  |  浏览/下载：48/0  |  提交时间：2018/07/27
Multispectral image compression algorithm based on spectral clustering and wavelet transform 会议论文  OAI收割
Changchun, PEOPLES R CHINA, 2017-07-23
作者:  Huang Rong;  Qiao Weidong;  Yang Jianfeng;  Wang Hong;  Xue Bin
  |  收藏  |  浏览/下载：100/0  |  提交时间：2018/03/28
Improved non-negative tensor Tucker decomposition algorithm for interference hyper-spectral image compression 期刊论文  OAI收割
science china-information sciences, 2015, 卷号: 58, 期号: 5
作者:  Wen Jia;  Zhao JunSuo;  Ma CaiWen;  Wang CaiLing
收藏  |  浏览/下载：65/0  |  提交时间：2015/04/03
自适应提升小波在干涉高光谱压缩中的应用 期刊论文  OAI收割
哈尔滨工业大学学报, 2014, 卷号: 46, 期号: 7, 页码: 112-117
温佳; 马彩文; 赵军锁; 王彩玲
  |  收藏  |  浏览/下载：35/0  |  提交时间：2014/12/16
Image coding using wavelet-based compressive sampling (EI CONFERENCE) 会议论文  OAI收割
2012 5th International Symposium on Computational Intelligence and Design, ISCID 2012, October 28, 2012 - October 29, 2012, Hangzhou, China
作者:  Li J.;  Li J.;  Li J.
收藏  |  浏览/下载：45/0  |  提交时间：2013/03/25
In this paper  we proposed a novel coding scheme is proposed using wavelet-based CS framework for nature image. First  two-dimension discrete wavelet transform (DWT) is applied to a nature image for sparse representation. After multi-scale DWT  the low-frequency sub-band and high-frequency sub-bands are re-sampled separately. According to the statistical dependences among DWT coefficients  we allocate different measurements to low- and high-frequency component. Then  the measurements samples can be quantized. The quantize samples are entropy coded and forward correct coding (FEC). Finally  the compressed streams are transmitted. At the decoder  one can simply reconstruct the image via l1 minimization. Experimental results show that the proposed wavelet-based CS scheme achieves better compression performance against the relevant existing solutions.  
A 3D non-linear orientation prediction wavelet transform for interference hyperspectral images compression 期刊论文  OAI收割
optics communications, 2011, 卷号: 284, 期号: 7, 页码: 1770-1777
作者:  Wen, Jia;  Ma, Caiwen;  Shui, Penglang
收藏  |  浏览/下载：50/0  |  提交时间：2011/10/08
Image compression algorithm of high-speed SPIHT for aerial applications (EI CONFERENCE) 会议论文  OAI收割
2011 IEEE 3rd International Conference on Communication Software and Networks, ICCSN 2011, May 27, 2011 - May 29, 2011, Xi'an, China
作者:  Zhang K.;  Zhang K.;  Zhang K.;  Zhang K.
收藏  |  浏览/下载：39/0  |  提交时间：2013/03/25
SPIHT and NLS (Not List SPIHT) are efficient compression algorithms  but the algorithms application is limited by the shortcomings of the poor error resistance and slow compression speed in the aviation and other areas requiring high-speed compression. In this paper  the error resilience and the compression speed are improved. The remote sensing images are decomposed by Le Gall5/3 wavelet  and wavelet coefficients are indexed  scanned and allocated by the means of family blocks. The bit-plane importance is predicted by bitwise OR  so the N bit-planes can be encoded at the same time. Compared with the SPIHT algorithm  this modified algorithm is easy implemented by hardware  and the compression speed is improved. The PSNR of reconstructed images encoded by high-speed SPIHT is slightly lower than SPIHT at rate 1bpp  but the speed is 4.5-6 times faster than SPIHT encoding process. The algorithm meets the high speed and reliability requirements of aerial applications. 2011 IEEE.  
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：46/0  |  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.