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基于自适应多方向稀疏模型的量化噪声均衡化图像解码方法

Keywords: 压缩感知,多方向稀疏算子,均衡化噪声模型

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Abstract:

针对量化带来的非一致噪声,基于压缩感知理论,建立了基于量化噪声均衡化模型的图像优化解码方案.针对图像信号纹理的多方向特征,构建了自适应多方向稀疏表示模型.实验结果表明:以变换系数为观测数据,通过基于自适应多方向稀疏模型的量化噪声均衡化解码方法可以较大幅度地提高图像重建质量.

References

[1]  CANDES E J,ROMBERG J,TAO T.Robust uncertainty principles:exact signal reconstruction from highly incomplete frequency information[J].IEEE Transactions on Information Theory,2006,52(2):489-509.
[2]  BARANIUK R.Compressive sensing[J].IEEE Signal Processing Magazine,2007,24(4):118-121.
[3]  DONOHO D L.Compressed sensing[J].IEEE Transactions on Information Theory,2006,52(4):1289-1306.
[4]  WU X L,ZHANG X J.Model-guided adaptive recovery of compressive sensing[C]∥Data Compression Conference.Washington,D.C.:IEEE Computer Society,2009:123-132.
[5]  ZHANG Y F,MEI S L,CHEN Q Q,et al.A novel image/video coding method based on compressed sensing theory[C]∥IEEE Int Conf on Acoustics,Speech,and Signal Processing(ICASSP).Washington,D.C.:IEEE Computer Society,2008:1361-1364.
[6]  ZHANG Z,SHI Y H,KONG D H,et al.Image decoding optimization based on compressive sensing[J].Journal of Computational and Applied Mathematics,2011,236(5):812-818.
[7]  DUARTE M,DAVENPORT M,TAKBAR D,et al.Single-pixel imaging via compressive sampling[J].IEEE Signal Processing Magazine,2008,25(2):82-91.
[8]  SHI G,GAO D,SONG X,et al.High-Resolution imaging via moving random exposure and its simulation[J].IEEE Transactions on Image Processing,2011,20(1):276-282.
[9]  BECK A,TEBOULLE M.Fast gradient-based algorithms for constrained total variation image denoising and deblurring problems[J].IEEE Transactions on Image Processing,2009,18(11):2419-2434.
[10]  ZHANG Z,SHI Y H,DING W P,et al.MR images reconstruction based on TVWL2-L1 model[J].Journal of Visual Communication and Image Representation,2013,24(2):187-195.
[11]  WANG J,TANG S J,YIN B C,et al.Data gathering in wireless sensor networks through intelligent compressive sensing[C]∥INFOCOM 2012 Proceedings IEEE.Washington,D.C.:IEEE Computer Society,2012:603-611.
[12]  YANG J,ZHANG Y,YIN W,et al.A fast alternating direction method for tvl1-l2 signal reconstruction from partial Fourier data[J].IEEE Journal of Selected Topics in Signal Processing,2010,4(2):288-297.
[13]  LUSTIG M,DONOHO D L,SANTOS J M,et al.Compressed sensing MRI[J].IEEE Signal Processing Magazine,2008,25(2):72-82.
[14]  VARSHNEY K R,CETIN M,FISHER J W,et al.Sparse representation in structured dictionaries with application to synthetic aperture radar[J].IEEE Transactions on Signal Processing,2008,56(8):3548-3561.
[15]  DAUBECHIES I,DEFRISE M,MOL C D.An iterative thresholding algorithm for linear inverse problems with a sparsity constraint[J].Communications on Pure and Applied Mathematics,2004,57(11):1413-1457.
[16]  DONOHO D L,TSAIG Y,DRORI I,et al.Sparse solution of underdetermined systems of linear equations by stagewise orthogonal matching pursuit[J].IEEE Transactions on Information Theory,2012,58(2):1094-1121.
[17]  CANDES E J,ROMBERG J.L1-MAGIC:recovery of sparse signals via convex programming[EB/OL].[2012-06-06].http:∥www.acm.caltech.edu/l1magic/.

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