TY - JOUR
T1 - Multiple-Parameter Discrete Fractional Transform and its Applications
AU - Kang, Xuejing
AU - Tao, Ran
AU - Zhang, Feng
N1 - Publisher Copyright:
© 1991-2012 IEEE.
PY - 2016/7/1
Y1 - 2016/7/1
N2 - In recent years, several special multiple-parameter discrete fractional transforms (MPDFRTs) have been proposed, and their advantages have been demonstrated in the fields of communication systems and information security. However, the general theoretical framework of MPDFRTs has not yet been established. In this paper, we propose two separate theoretical frameworks called the type I and II MPDFRT that can include existing multiple-parameter transforms as special cases. The properties of the type I and II MPDFRT have been analyzed in detail and their high-dimensional operators have been defined. Under the theoretical frameworks, we can construct new types of transforms that may be useful in signal processing and information security. Finally, we perform two applications about image encryption and image feature extraction in the type I and II MPDFRT domain. The simulation results demonstrate that the typical transforms constructed under the proposed theoretical frameworks yield promising results in these applications.
AB - In recent years, several special multiple-parameter discrete fractional transforms (MPDFRTs) have been proposed, and their advantages have been demonstrated in the fields of communication systems and information security. However, the general theoretical framework of MPDFRTs has not yet been established. In this paper, we propose two separate theoretical frameworks called the type I and II MPDFRT that can include existing multiple-parameter transforms as special cases. The properties of the type I and II MPDFRT have been analyzed in detail and their high-dimensional operators have been defined. Under the theoretical frameworks, we can construct new types of transforms that may be useful in signal processing and information security. Finally, we perform two applications about image encryption and image feature extraction in the type I and II MPDFRT domain. The simulation results demonstrate that the typical transforms constructed under the proposed theoretical frameworks yield promising results in these applications.
KW - Multiple-parameter fractional transform
KW - fractional Fourier transform
KW - periodic fractional matrix
UR - http://www.scopus.com/inward/record.url?scp=84976348479&partnerID=8YFLogxK
U2 - 10.1109/TSP.2016.2544740
DO - 10.1109/TSP.2016.2544740
M3 - Article
AN - SCOPUS:84976348479
SN - 1053-587X
VL - 64
SP - 3402
EP - 3417
JO - IEEE Transactions on Signal Processing
JF - IEEE Transactions on Signal Processing
IS - 13
M1 - 7437499
ER -