Images fusion based on block compressed sensing and multiwavelet transform

Sen-lin Yang; Guo-bin Wan; Jing-huai Gao; Bian-lian Zhang; Xin Chong

doi:10.1117/12.2033237

20 August 2013 Images fusion based on block compressed sensing and multiwavelet transform

Sen-lin Yang, Guo-bin Wan, Jing-huai Gao, Bian-lian Zhang, Xin Chong

Proceedings Volume 8913, International Symposium on Photoelectronic Detection and Imaging 2013: Optical Storage and Display Technology; 89130R (2013) https://doi.org/10.1117/12.2033237
Event: ISPDI 2013 - Fifth International Symposium on Photoelectronic Detection and Imaging, 2013, Beijing, China

Abstract

A novel strategy for images fusion is presented based on the block compressed sensing (BCS) and multiwavelet transform (MWT). Since the BCS requires small memory requirement and enables fast computation, the images with large amounts of data can be compressively sampled by the BCS. Secondly, taking full advantages of multiwavelet such as symmetry, orthogonality, short support, and a higher number of vanishing moments, the compressive measurements of images can be better represented by the MWT. Moreover, the compressive measurements are fused based on the coherence of MWT decomposition coefficients. And finally, the fused image is reconstructed by the minimization of total variance method, and an overlapped blocking technique is proposed to eliminate the block effects. Experiments result shows the validity of the proposed method. Simultaneously, results also indicate that the compressive fusion can produce better results than conventional fusion techniques such as the principle component analysis method, Laplacian pyramid-based method, and wavelet transform method.

Citation Download Citation

Sen-lin Yang, Guo-bin Wan, Jing-huai Gao, Bian-lian Zhang, and Xin Chong "Images fusion based on block compressed sensing and multiwavelet transform", Proc. SPIE 8913, International Symposium on Photoelectronic Detection and Imaging 2013: Optical Storage and Display Technology, 89130R (20 August 2013); https://doi.org/10.1117/12.2033237

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