DocumentCode :
1682167
Title :
Golay sequence for parital Fourier and Hadamard compressive imaging
Author :
Lu Gan ; Lin Liu ; Yao-chun Shen
Author_Institution :
Brunel Univ., Uxbridge, UK
fYear :
2013
Firstpage :
6048
Lastpage :
6052
Abstract :
This paper introduces Golay sequence for partial Fourier and Hadamard compressive imaging. In the proposed system, the signal is pre-modulated by a binary Golay sequence before applying a random subsampled Fourier or Hadamard transform. The correpsonding sampling operator has been proved to be incoherent with the (block) DCT or the Haar wavelet transform. Empirical results show that they are also incoherent with the Daubechies wavelets. It is well known that natural images are sparse in the DCT and the wavelet basis. Hence, the proposed sampling operators are promising in many Fourier or Hadamard compressive imaging applications. In fact, they can achieve near-optimal reconstruction performance with small memory requirement and simple hardware implementation. Some simulation results and proof-of-concept experimental results are included to demonstrate the validity of the theory and the potential of the proposed sampling operators.
Keywords :
Fourier transforms; Golay codes; Hadamard transforms; compressed sensing; discrete wavelet transforms; image coding; image reconstruction; image sampling; natural scenes; DCT; Hadamard compressive imaging; Hadamard transform; binary Golay sequence; hardware implementation; memory requirement; natural images; near-optimal reconstruction performance; partial Fourier compressive imaging; premodulated signal; random subsampled Fourier transform; sampling operator; wavelet basis; Coherence; Compressed sensing; Discrete cosine transforms; Image reconstruction; Imaging; Wavelet transforms; Compressed sensing; DCT; Fourier transform; Golay sequence; Hadamard matrix;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
ISSN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2013.6638826
Filename :
6638826
Link To Document :
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