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CAS IR Grid
机构
长春光学精密机械与物... [2]
沈阳自动化研究所 [2]
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OAI收割 [4]
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会议论文 [2]
期刊论文 [2]
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2015 [1]
2012 [1]
2010 [1]
2008 [1]
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兴趣区域优先的多尺度压缩感知渐进编码算法
期刊论文
OAI收割
光电子·激光, 2015, 卷号: 26, 期号: 10, 页码: 2016-2022
作者:
杜梅
;
赵怀慈
;
赵春阳
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浏览/下载:32/0
  |  
提交时间:2015/11/23
感兴趣区域(ROI)
渐进编码
多尺度压缩感知(CS)
基于小波的轮廓变换(WBCT)
边界平滑
面向边缘特征保持的图像压缩
期刊论文
OAI收割
光电工程, 2012, 卷号: 39, 期号: 12, 页码: 103-109
作者:
郝明国
;
赵怀慈
;
王帅
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浏览/下载:28/0
  |  
提交时间:2012/12/28
边缘保持
WBCT
链码
图像压缩
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.
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浏览/下载:45/0
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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.
Wavelet-based contourlet coding using SPECK algorithm (EI CONFERENCE)
会议论文
OAI收割
2008 9th International Conference on Signal Processing, ICSP 2008, October 26, 2008 - October 29, 2008, Beijing, China
Xiu-Wei T.
;
Xi-Feng Z.
;
Tie-Fu D.
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浏览/下载:55/0
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提交时间:2013/03/25
We proposed a new still image compression algorithm called CSPECK witch was constructed by the wavelet-based contourlet transform (WBCT) and set partitioning embedded block coding (SPECK). In the WBCT
the high frequency sub-band decomposed by the wavelet transform was further decomposed into multiple directional sub-bands by directional filter bank so as to explain the edge and texture of the image more sparsely. The SPECK algorithm exhibits lower complexity and more efficient compression ratio than SPIHT based on WBCT. Experimental results demonstrate that the proposed method is efficient in coding images that possess mostly textures and contours. The simulation results also show that this new coding algorithm increases the PSNR over CSPIHT. 2008 IEEE.