期刊文献+

基于盲均衡的超分辨率图像重建 被引量:2

Reconstruction of Super-Resolution Image Based on Blind Equalization
下载PDF
导出
摘要 超分辨率图像的重建是指从一组低分辨率图像重建出更高分辨率的图像。提出采用盲均衡与凸集投影的方法估计成像系统的冲激响应 ,并实现超分辨率图像的重建。这种图像重建算法不需要了解关于帧间运动模式与帧内模糊类型的先验知识 ,因而更接近实际应用的要求。 Reconstruction of super-resolution image refers to obtain a higher resolution image from a sequence of low-resolution frames. The technique of blind equalization and projection onto convex sets (POCS) is used in this paper to estimate the impulse response of imaging system and reconstruct the SR image. The algorithm that proposed in the paper does not depend on a priori information about blur type and the model of inter-frame motion, therefore it is more efficient in application. The experiment proves the effectiveness of the proposed algorithm.
作者 丛键 李在铭
出处 《系统工程与电子技术》 EI CSCD 2000年第5期61-63,76,共4页 Systems Engineering and Electronics
关键词 超分辨率 图像处理 盲均衡 图像重建 Resolution Image processing Equalization
  • 相关文献

参考文献8

  • 11,Srinivas C, Srinath M D. A Stochastic Model-Based Approach for Simultaneous Restoration of Multiple Miss-Registered Images. SPIE, 1990,1360:1416~1427.
  • 22,Peleg S, Keren D. Improving Image Resolution Using Subpixel Motion. Pattern Recognit. Lett., 1987,5: 223~226.
  • 33,Ozkan M K, Tekalp A M, Sezan M I. POCS-Based Restoration of Space-Varying Blurred Images. IEEE Trans. on Image Processing, 1994,3(7): 450~454.
  • 44,Tom B C, Katsaggelos A K. Reconstruction of a High Resolution Image from Registration and Restoration of Low Resolution Images. Proc. of IEEE Int. Conf. Ima ge Processing, Austin, TX, 1994.
  • 55,Schultz R R, Stevenson R L. Improved Definition Video Frame Enhancement. ICASSP, Detroit, MI., 1995, 4:2169~2172.
  • 66,Patti Andrew J, Sezan M I. Super-Resolution Video Reconstruction with Ar bitray Sampling Lattices and Nonzero Aperture Time. IEEE Trans. on Image Processing, 1997, 6(8): 1064~1076.
  • 77,Michael Elad, Arie Feuer. Restoration of a Single Super-Resolution Image fro m Several Blurred, Noisy, and Undersampled Measured Images. IEEE Trans. on Image Processing, 1997,6(12):1646~1658.
  • 88,Boaz Porat, Benjamin Friedlander. Blind Equalization of Digital Communication Channels Using High-Order Moments. IEEE Trans. on Signal Processing, 1991,39(2):522~526.

同被引文献9

  • 1刘正凯 等.数字图像恢复与重建[M].合肥:中国科技大学出版,1989.62-69.
  • 2Castlemam K R 朱志刚(译).数字图像处理[M].北京:电子工业出版社,1998.349.
  • 3Nguyen.Numerical Algorithms for Image Super-Resolution[D].Stanford University.2000.
  • 4H Andrew,B Hunt.Digital Image Restortion[M].Prentice-Hall,Englewood Cliffs,NJ,1997.
  • 5L Brown.A Survey of Image Registration Techniques[J].ACM Computing Surveys,1992,24(12):325-376.
  • 6A M Tekalp,M K Ozkan and M I Sezn.High-resolution image reconstruction from lower-resolution image sequences and space-vary image restoration[C].in Proceedings of the IEEE International Conference on Acousics,Speech and Signal Processing,San Francisco,CA,3,1992:169-172.
  • 7郝鹏威,朱重光.数字图像空间分辨率改善的插值-模拟采样迭代方法[J].电子学报,1999,27(6):19-22. 被引量:3
  • 8苏秉华,金伟其,牛丽红,刘广荣.超分辨率图像复原及其进展[J].光学技术,2001,27(1):6-9. 被引量:59
  • 9张新明,沈兰荪.超分辨率复原技术的发展[J].测控技术,2002,21(5):33-35. 被引量:28

引证文献2

二级引证文献12

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部