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浏览/检索结果: 共19条,第1-10条 帮助

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Robust Adversarial Watermark Defending Against GAN Synthesization Attack 期刊论文  OAI收割
IEEE SIGNAL PROCESSING LETTERS, 2024, 卷号: 31, 页码: 351-355
作者:  
Xu, Shengwang;  Qiao, Tong;  Xu, Ming;  Wang, Wei;  Zheng, Ning
  |  收藏  |  浏览/下载:15/0  |  提交时间:2024/07/03
Learned Image Compression Using Cross-Component Attention Mechanism 期刊论文  OAI收割
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 5478-5493
作者:  
Duan, Wenhong;  Chang, Zheng;  Jia, Chuanmin;  Wang, Shanshe;  Ma, Siwei
  |  收藏  |  浏览/下载:15/0  |  提交时间:2023/12/04
CBREN: Convolutional Neural Networks for Constant Bit Rate Video Quality Enhancement 期刊论文  OAI收割
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 7, 页码: 4138-4149
作者:  
Zhao, Hengrun;  Zheng, Bolun;  Yuan, Shanxin;  Zhang, Hua;  Yan, Chenggang
  |  收藏  |  浏览/下载:35/0  |  提交时间:2022/12/07
Predictive Generalized Graph Fourier Transform for Attribute Compression of Dynamic Point Clouds 期刊论文  OAI收割
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 5, 页码: 1968-1982
作者:  
Xu, Yiqun;  Hu, Wei;  Wang, Shanshe;  Zhang, Xinfeng;  Wang, Shiqi
  |  收藏  |  浏览/下载:45/0  |  提交时间:2021/12/01
Orthogonal sparse fractal coding algorithm based on image texture feature 期刊论文  OAI收割
IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 11, 页码: 1872-1879
作者:  
Cao, Jian;  Zhang, Aihua;  Shi, Lei
  |  收藏  |  浏览/下载:224/0  |  提交时间:2019/10/11
From Heuristic Optimization to Dictionary Learning: A Review and Comprehensive Comparison of Image Denoising Algorithms 期刊论文  OAI收割
ieee transactions on cybernetics, 2014, 卷号: 44, 期号: 7, 页码: 1001-1013
作者:  
Shao, Ling;  Yan, Ruomei;  Li, Xuelong;  Liu, Yan
收藏  |  浏览/下载:58/0  |  提交时间:2015/03/18
Rate pre-allocated compression for mapping image based on wavelet and rate-distortion theory 期刊论文  OAI收割
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:25/0  |  提交时间:2015/04/17
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:43/0  |  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.  
Novel intra prediction via position-dependent filtering 期刊论文  OAI收割
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2011, 卷号: 22, 期号: 8, 页码: 687-696
作者:  
Zhang, Li;  Zhao, Xin;  Ma, Siwei;  Wang, Qiang;  Gao, Wen
  |  收藏  |  浏览/下载:31/0  |  提交时间:2019/12/16
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:45/0  |  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.