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基于增量維納濾波和空間自適應(yīng)規(guī)整的超分辨率圖像復(fù)原

閆華,  劉琚,  李道真,  孫建德

閆華, 劉琚, 李道真, 孫建德. 基于增量維納濾波和空間自適應(yīng)規(guī)整的超分辨率圖像復(fù)原[J]. 電子與信息學(xué)報(bào), 2005, 27(1): 35-38.
引用本文: 閆華, 劉琚, 李道真, 孫建德. 基于增量維納濾波和空間自適應(yīng)規(guī)整的超分辨率圖像復(fù)原[J]. 電子與信息學(xué)報(bào), 2005, 27(1): 35-38.
Yan Hua, Liu Ju, Li Dao-zhen, Sun Jian-de. Incremental Wiener Filter and Space-Adaptive Regularization Based Super-Resolution Image Restoration[J]. Journal of Electronics & Information Technology, 2005, 27(1): 35-38.
Citation: Yan Hua, Liu Ju, Li Dao-zhen, Sun Jian-de. Incremental Wiener Filter and Space-Adaptive Regularization Based Super-Resolution Image Restoration[J]. Journal of Electronics & Information Technology, 2005, 27(1): 35-38.

基于增量維納濾波和空間自適應(yīng)規(guī)整的超分辨率圖像復(fù)原

Incremental Wiener Filter and Space-Adaptive Regularization Based Super-Resolution Image Restoration

  • 摘要: 該文提出一種新的超分辨率圖像復(fù)原方案,該方案利用了空間自適應(yīng)規(guī)整方法的空間分段平滑特性和增量維納濾波的快速收斂能力,將解的先驗(yàn)約束結(jié)合到迭代過(guò)程中,通過(guò)多幅低分辨率降晰圖像來(lái)估計(jì)一幅高分辨率圖像。計(jì)算機(jī)仿真結(jié)果表明,該方法可以有效實(shí)現(xiàn)超分辨率圖像復(fù)原,有效地提高了復(fù)原的自適應(yīng)控制能力和收斂性能。
    Abstract: A new method of super-resolution image restoration is proposed in the paper. In this method, the piecewise smoothness of space-adaptive regularization combines with the rapid convergence of incremental Wiener filter and through an iteration process with a priori constraint about image, one super-resolution image is estimated from several low-resolution images. Simulations show that the method can implement restoration effectively and has good convergence.
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  • Tsai R Y, Huang T S. Multiframes image resolution and registration. in Advances in Computer Vision and Image Processing,. T. S. Huang, Ed. Greenwich, CT: Jai Press, 1984,vol.Ⅰ: 317 - 319.[2]Srinivas C, Srinath M D. A stochastic model-based approach for simultaneous restoration of multiple miss-registered images[J].SPIE.1990, 1360:1416-[3]Peleg S, Keren D. Improving image resolution using subpixel motion[J].Pattern Recognit Lett.1987, 5(3):223-[4]Ozkan M K, Tekalp A M, Sezan M I. POCS-based resolution of space-varying blurred images[J].IEEE Trans. on Image Processing.1994, 3(7):450-[5]Tom B C, Katsaggelos A K. Reconstruction of a high resolution image from registration and restoration of low resolution images[J].Proc. of IEEE Int. Conf. Image Processing, Austin, TX.1994, 3:553-[6]Schultz R R, Stevenson R L. Improved definition video frame enhancement. ICASSP, Detroit, MI., 1995, 4:2169 - 2172.[7]Patti A J, Sezan M I, Tekalp A M. Super-resolution video reconstruction with arbitrary sampling lattices and nonzero aperture time[J].IEEE Trans. on Images Processing.1997, 6(8):1064-[8]Elad M, Feuer A. Restoration of a single super-resolution image from several blurred, noise, and undersampled measured images[J].IEEE Trans. on Image Processing.1997, 6(8):1646-[9]鄒謀炎.反卷積和信號(hào)復(fù)原.北京:國(guó)防工業(yè)出版社,2001.3,第4,6章.[10]Lagendihk R L, Biemond J, Boekee D E. Regularized iterative image restoration with ringing reduction[J].IEEE Trans. on Acoust.Speech Signal Proc.1988, 36(2):1874-[11]劉良云,李英才,相里斌.超分辨率圖像重構(gòu)技術(shù)的仿真實(shí)驗(yàn)研究.中國(guó)圖像圖形學(xué)報(bào),2001,6(7):629-635.
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出版歷程
  • 收稿日期:  2003-07-24
  • 修回日期:  2003-12-22
  • 刊出日期:  2005-01-19

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