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  • 标题:Compressed Sensing Based on the Single Layer Wavelet Transform for Image Fusion
  • 本地全文:下载
  • 作者:Guohui Yang ; Wude Xu ; Bo Zheng
  • 期刊名称:Journal of Computer and Communications
  • 印刷版ISSN:2327-5219
  • 电子版ISSN:2327-5227
  • 出版年度:2016
  • 卷号:04
  • 期号:15
  • 页码:107-116
  • DOI:10.4236/jcc.2016.415010
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要:In this paper, a new method of combination single layer wavelet transform and compressive sensing is proposed for image fusion. In which only measured the high-pass wavelet coefficients of the image but preserved the low-pass wavelet coefficient. Then, fuse the low-pass wavelet coefficients and the measurements of high-pass wavelet coefficient with different schemes. For the reconstruction, by using the minimization of total variation algorithm (TV), high-pass wavelet coefficients could be recovered by the fused measurements. Finally, the fused image could be reconstructed by the inverse wavelet transform. The experiments show the proposed method provides promising fusion performance with a low computational complexity.
  • 关键词:Image Fusion;Compressed Sensing;Single Layer Wavelet Transform
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