一种新的NSCT超分辨率图像复原技术

doi:10.3969/j.issn.1001-2400.2012.01.007

Abstract

Abstract:

Based on the multi-scaled and multi-directional properties of Nonsubsampled Contourlet Transform (NSCT), an image super-resolution restoration algorithm is proposed. The algorithm includes image registration and image restoration. First sub-pixel image registration is applied. Then a fused image can be obtained from the registered images by performing NSCT and the inverse NSCT. After the low frequency and high frequency of the fused image are interpolated, a high-resolution image can be obtained by performing the inverse NSCT. Experimental results show that the proposed algorithm outperforms the traditional algorithms in terms of both visual quality and objective evaluation criteria.

Key words: image registration, image fusion, nonsubsampled contourlet transform, interpolation

CLC Number:

TP391

YANG Zhenping;NIU Haijun;DING Lei. New image super-resolution restoration method by NSCT[J].J4, 2012, 39(1): 34-37+85.

References

［1］刘琚, 乔建苹. 基于学习的超分辨率重建技术［J］. 智能系统学报, 2009, 4(3): 199-207.
Liu Ju, Qiao Jianping. Learning-based Super-resolution Reconstruction［J］. CAAI Trans on Intelligent Systems, 2009, 4(3): 199-207.
［2］ Xu Jiwen, Wang Yanying. Application of Wavelet Algorithm to Spectral Analysis of Oceanic Waves and Offshore Structure Responses［J］. China Ocean Engineering, 2009, 23(4): 635-644.
［3］ Do M N, Vetterli M. The Contourlet Transform: an Efficient Directional Multiresolution Image Representation［J］. IEEE Trans on Image Processing, 2005, 14(12): 2091-2106.
［4］ da Cunha A L, Zhou Jianping, Do M N. The Nonsubsampled Contourlet Transform: Theory, Design, and Applications［J］. IEEE Trans on Image Processing, 2006, 15(10): 3089-3101.
［5］ Burt P J, Adelson E H. The Laplacian Pyramid as a Compact Image Code［J］. IEEE Trans on Communication, 1983, 31(4): 532-540.
［6］王丹, 周锦程. 基于NSCT的图像融合算法［J］. 计算机系统应用, 2010, 19(12): 185-189.
Wang Dan, Zhou Jincheng. Image Fusion Algorithm Based on the Nonsubsampled Contourlet Transform［J］. Computer Systems ＆ Applications, 2010, 19(12): 185-189.
［7］李恒建, 张家树, 陈怀新. 基于稀疏模型的Bandelet图像去噪方法［J］. 铁道学报, 2010, 32(5): 108-113.
Li Hengjian, Zhang Jiashu, Chen Huaixin. Image Denoising Based on the Sparse Land Using Redundant Bandelet Transform［J］. Journal of the China Railway Society, 2010, 32(5): 108-113.
［8］ Do M N, Vetterli M. Framing Pyramids［J］. IEEE Trans on Signal Processing, 2003, 51(9): 2329-2342.
［9］ Lu Y M, Do M N. Multidimensional Directional Filter Banks and Surfacelets［J］. IEEE Trans on Image Processing, 2007, 16(4): 918-931.
［10］张海霞. 基于Horn-Schunck方法的光流计算模型［J］. 科技信息, 2008(5): 220-222.
Zhang HaiXia. The Optical Flow Calculation Model Based on Horn-Schunck［J］. Science ＆ Technology Information, 2008(5): 220-222.
［11］ Lucas B D, Kanade T. An Iterative Image Registration Technique with an Application to Stereo vision［C］//Proc 7th Intel Joint Conf on Artificial Intelligence. Vancouver: Morgan Kaufmann Publishers, 1981: 674-679.
［12］薛正亮. 图像超分辨率重建技术研究［D］. 南京: 南京航空航天大学, 2008.

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New image super-resolution restoration method by NSCT

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