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Distributed Source Coding of Hyperspectral Images Based on Three-Dimensional Wavelet
期刊论文
Journal of the Indian Society of Remote Sensing, 2018, 卷号: Vol.46 No.4, 页码: 667-673
作者:
Xianghai Wang
;
Jingzhe Tao
;
Yutong Shen
;
Mingshuang Qin
;
Chuanming Song
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/02/27
Hyperspectral
remote
sensing
image
Distributed
source
coding
3D
wavelet
Channel
coding
A Simple and Fast Algorithm for Image Coding Based on SPIHT
会议论文
作者:
Zhang, Yiqun
;
Lin, Peijie
;
Wu, Lijun
;
Cheng, Shuying
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/11/21
zero tree coding
set partitioning in hierarchical tree
image compression
wavelet transform
image coding
Joint source-channel coding for band-limited backhauls in coordinated multi-point systems (EI收录SCI收录)
期刊论文
IET Communications, 2016, 卷号: 10, 页码: 1562-1570
作者:
Zhou, Fasheng[1,2]
;
Du, Minghui[1]
;
Wang, Yige[1]
;
Luo, Gaoyong[2]
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  |  
浏览/下载:10/0
  |  
提交时间:2019/04/24
Channel state information
Codes (symbols)
Communication channels (information theory)
Compression ratio (machinery)
Economic and social effects
Image coding
Long Term Evolution (LTE)
Mobile telecommunication systems
Satellite communication systems
Standards
Turbo codes
Wavelet transforms
Wireless telecommunication systems
An efficient speech perceptual hashing authentication algorithm based on wavelet packet decomposition
期刊论文
Journal of Information Hiding and Multimedia Signal Processing, 2015, 卷号: 6, 期号: 2, 页码: 311-322
作者:
Zhang, Qiu-Yu
;
Xing, Peng-Fei
;
Huang, Yi-Bo
;
Dong, Rui-Hong
;
Yang, Zhong-Ping
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2020/11/14
Authentication
Discrete cosine transforms
Image coding
Robustness (control systems)
Speech
Wavelet analysis
Wavelet decomposition
Authentication algorithm
Givens Rotation
Perceptual hashing
Speech content
Two dimensional discrete cosine transform
Wavelet packet coefficient
Wavelet Packet Decomposition
Wavelet packet decompositions
Level-by-Level adaptive disparity compensated prediction in wavelet domain for stereo image coding
会议论文
18th International Conference on Image Analysis and Processing, ICIAP 2015, Genoa, Italy, September 7, 2015 - September 11, 2015
作者:
Li, Shigao*
;
Jia, Liming
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  |  
浏览/下载:3/0
  |  
提交时间:2019/12/27
Disparity compensation
Image compression
Stereo image coding
Wavelet image coding
基于多元统计模型的分形小波自适应图像去噪
期刊论文
2014
王智文
;
李绍滋
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2016/05/17
图像去噪
多元统计模型
分形小波变换
拼贴编码
RMSE和PSNR
image denoising
multivariate statistical model
fractal-wavelet transform
collage coding
RMSE and PSNR
Discrete wavelet transform-based simple range classification strategies for fractal image coding
期刊论文
NONLINEAR DYNAMICS, 2014, 卷号: 75, 页码: 439-448
作者:
Wang, Xing-Yuan
;
Zhang, Dou-Dou
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  |  
浏览/下载:5/0
  |  
提交时间:2019/12/09
Fractal image coding
Discrete wavelet transform
Range classification
Variance sorting
High compression ratio
Rate pre-allocated compression for mapping image based on wavelet and rate-distortion theory
期刊论文
OPTIK, 2013, 卷号: 124, 期号: 14, 页码: 1836-1840
作者:
Li, Qihu
;
Ren, Guoqiang
;
Wu, Qinzhang
;
Zhang, Xianyu
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2015/04/17
Integer wavelet transform
Bit rate pre-allocated
Image coding
FPGA
Multiple DSP
Complex SAR Image Compression Based on Directional Lifting Wavelet Transform With High Clustering Capability
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2013, 卷号: 51, 期号: [db:dc_citation_issue], 页码: 527-538
作者:
Hou, Xingsong
;
Yang, Jing
;
Jiang, Guifeng
;
Qian, Xueming
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/10
Complex synthetic aperture radar (SAR) image
directional lifting wavelet transform (DLWT)
image coding
Image coding using wavelet-based compressive sampling (EI CONFERENCE)
会议论文
2012 5th International Symposium on Computational Intelligence and Design, ISCID 2012, October 28, 2012 - October 29, 2012, Hangzhou, China
Jin L.
;
Li J.
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  |  
浏览/下载:37/0
  |  
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.
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