期刊文献+

基于小波局部适应插值IBP算法的视频超分辨率重建 被引量:6

Video super-resolution reconstruction based on local-adaptation interpolation wavelet transform IBP algorithm
原文传递
导出
摘要 针对基于迭代反投影(IBP)算法的视频超分辨率重建,提出了一种改善初始估计来提高重建效果的方法.本文采用小波局部适应插值得到初始估计,结合滑动窗的视频重建模型,由一段低分辨率的视频重建一段高分辨率的视频,达到提高视频空间分辨率的目的.实验表明改进算法得到的高分辨率视频有更好的视觉效果. For the video super-resolution reconstruction based on iterative back projection (IBP) algorithm, an improved method by raising the initial guess for improving reconstruction quality is proposed. Firstly a better initial guess is performed with wavelet-local adaptation interpolation. Then Combined with segmentation reconstruction model, a super-resolution video is reconstructed from a low-resolution video associated with the promotion of spatial resolution. At last the experimental results show that the reconstructed super-resolution video has better visual effect.
出处 《四川大学学报(自然科学版)》 CAS CSCD 北大核心 2011年第2期349-355,共7页 Journal of Sichuan University(Natural Science Edition)
基金 国家自然科学基金(61071161) 教育部科学技术研究重点项目(107094)
关键词 迭代反投影 视频超分辨率重建 小波局部适应插值 iterative back projection, video super-resolution reconstruction, local-adaptation interpola tion wavelet transform
  • 相关文献

参考文献12

  • 1Tsai R Y, Huang T S. Multi-frame image restoration and registration[J]. Advances in Computer Vision and Image Processing, 19841 317.
  • 2Choi E, Choi J, Kang M G. Super-resolution approach to overcome physical limitations of imaging sensors: an overview[J]. International Journal of Imaging Systems and Technology, 2004, 14(2): 36.
  • 3Schultz R R, Stevenson R L. Extraction of high-resolution frames from video sequences [J]. IEEE Tansactions on Image Processing, 1996, 5(6): 996.
  • 4Shechtman E, Capsi Y, Irani M. Increasing spacetime resolution in video [J]. Proc European Conf Computer Vision, 2002(1):753.
  • 5Keren D, Peleg S, Brada R. Image sequence enhancement using sub-pixel displacements[J]. IEEE Conference on Computer Vision and Pattern Recong- nition, 1988: 742.
  • 6覃凤清,何小海,陈为龙,吴炜,杨晓敏.一种图像配准的超分辨率重建[J].光学精密工程,2009,17(2):409-416. 被引量:20
  • 7Narayanan B, Hardie RC, Barner K E, et al. A computationally efficient super-resolution algorithm for video processing using partition filters [J]. IEEE Transactions on Circuits and Systems for Video Technology, 2007, 17(5): 621.
  • 8曹聚亮,吕海宝,谭晓波,周卫红.基于实时帧迭代反向投影算法的图像序列超分辨率处理[J].光学技术,2004,30(5):558-560. 被引量:5
  • 9Irani M, Peleg S. Improving resolution by image registration[J]. CVGIP: Graphical Models and Im- age Processing, 1991, 53: 231.
  • 10Park S C, Park M K, Kang M G. Super-resolution image reconstruction: a technical overview [J]. IEEE Signal Processing Magazine, 2003, 20 (3):21.

二级参考文献21

  • 1梁栋,沈敏,高清维,鲍文霞,屈磊.一种基于Contourlet递归Cycle Spinning的图像去噪方法[J].电子学报,2005,33(11):2044-2046. 被引量:39
  • 2曹学光,易沫,汪雪林,彭思龙.小波域边缘保持规整化图像复原[J].中国图象图形学报,2006,11(2):224-229. 被引量:9
  • 3汪源源,孙志民,蔡铮.改进的奇异值分解法估计图像点扩散函数[J].光学精密工程,2006,14(3):520-525. 被引量:14
  • 4张红颖,张加万,孙济洲.改进Demons算法的非刚性医学图像配准[J].光学精密工程,2007,15(1):145-150. 被引量:22
  • 5孙即祥.数字图像处理[M].石家庄:河北教育出版社,1993..
  • 6ELAD M, FEULER A. Restoration of a single superresolution image from several blurred, noisy, and under sampled measured images [J]. IEEE Transactions on Image Processing, 1997, 6 (12) :1646-1658.
  • 7VANDEWALLE P, SUSSTRUNK S, VETTERLI M. A frequency domain approach to registration of aliased images with application to super resolution[J]. EURASIP Journal on Applied Signal Processing , 2006,1-16.
  • 8STONE H S, ORCHARD M T, CHANG E C,et al.. A fast direct Fourier-based algorithm for sub pixel registration of images [J]. IEEE Transactions on Geoscience and Remote Sensing, 2001,39 (10):2235-2243.
  • 9FOROOSH H, ZERUBIA J B, BERTHOD M. Extension of phase correlation to subpixel registration [J]. IEEE Transaction on Image Processing,2002,11(3):188-200.
  • 10LUCCHESE L, CORTELAZZO G M. A noise robust frequency domain technique for estimating planar roto-translations [J]. IEEE Transactions on Signal Processing, 2000,48(6) : 1769-1786.

共引文献24

同被引文献55

引证文献6

二级引证文献23

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