Fractional Fourier Transform Image Analysis

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Abstract:

As a generalized form of the Fourier transform, fractional Fourier transform (FRFT) ,which is integrated the signal in time domain and frequency domain, is a new time-frequency analysis. From the simulation point of view to image the distribution of energy in the fractional Fourier domain, the amplitude and phase characteristics, simulation results show that any fractional Fourier domain, can reflect the image of the space-frequency domain characteristics, with the order, the image The distribution of the space-frequency domain characteristics will change. The image of the fractional Fourier transform amplitude and phase reconstruction of the image information with the original image also showed some important conclusions for the fractional Fourier transform applied to image recognition and edge detection is of great significance.

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288-293

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September 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Chen Jun, WU Cheng-ke. Embedded DCT-based still image compression algorithm. Electronic Switch to Chinese No. 10. Oct. 2002 1570-1572.

Google Scholar

[2] Luo Rong Lei, Wang Yuan. Wavelet-based image reconstruction algorithm research Study of Circuits and Systems Vol. 10, No. 3. June 2005, 112-115.

Google Scholar

[3] Wang Xuelin, Liu Zhongxuan. Based on the edge of the adaptive wavelet transform Low bit rate image compression algorithm. China Image and Graphics Vol. 10, No. 2. Feb. 2005. 149-157.

Google Scholar

[4] Yan into a new, Sang agriculture is based on graph theory, image segmentation, Computer Engineering and Applications May 2006. 11-14.

Google Scholar

[5] Soo-Chang Pei, Jian-Jiun Ding. Relations between Fractional Operations and Time-Frequency Distributions, and Their Applications IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 49, NO. 8, August 2001, 1638-1655.

DOI: 10.1109/78.934134

Google Scholar

[6] Tao Ran, Deng soldiers. Fractional Fourier transform research progress in the field of signal processing. Science in China 2006 (2), 113-116.

Google Scholar

[7] Sun Xiaobing, Bao Zheng. Fractional Fourier transform and its applications. Electronic Switch to Chinese, No. 12, Dec. 1996, 60-65.

Google Scholar

[8] Zhang Feng, Mu Xiaomin Yang Shouyi, Qi Lin detection based on FRFT blind Chrip digital watermarking algorithm. Computer Engineering and Application.

Google Scholar

[9] Tao, of Ran, Qi Lin, Wang Yue,. Theory and Applications of Fractional Fourier the Transform. Beijing, Tsinghua University Press, (2004).

Google Scholar