Image enhancement in the fractional Fourier domain

Image enhancement in the transform domain is an indispensable technique in the image processing area. In this paper, a novel method of image enhancement with respect to the fractional Fourier transform is presented. This method filters image in the fractional Fourier domain instead of the Fourier domain which is usually applied to the classical image enhancement. The fractional Fourier transform has a rotation angle a, characters of image thus change in different transform domain. In a proper fractional Fourier domain with angle a, ideal low-pass filter makes image smoother and ideal high-pass filter loses less information of image than in the traditional Fourier domain, which provides an alternative way to enhance image with proper filter designing. The validity of this method is demonstrated via simulations.

[1]  S. Pizer,et al.  An evaluation of the effectiveness of adaptive histogram equalization for contrast enhancement. , 1988, IEEE transactions on medical imaging.

[2]  M.J. Levonen,et al.  Image quality assessment in time/frequency surfaces , 2004, Oceans '04 MTS/IEEE Techno-Ocean '04 (IEEE Cat. No.04CH37600).

[3]  Luís B. Almeida,et al.  The fractional Fourier transform and time-frequency representations , 1994, IEEE Trans. Signal Process..

[4]  Tenkasi V. Ramabadran,et al.  Near-lossless compression of medical images through entropy-coded DPCM , 1994, IEEE Trans. Medical Imaging.

[5]  Ran Tao,et al.  Time-Delay Estimation of Chirp Signals in the Fractional Fourier Domain , 2009, IEEE Transactions on Signal Processing.

[6]  Agostinho C. Rosa,et al.  Gray-scale image enhancement as an automatic process driven by evolution , 2004, IEEE Trans. Syst. Man Cybern. Part B.

[7]  Tomaso Erseghe,et al.  Unified fractional Fourier transform and sampling theorem , 1999, IEEE Trans. Signal Process..

[8]  Haiguang Chen,et al.  A fast filtering algorithm for image enhancement , 1994, IEEE Trans. Medical Imaging.

[9]  T. J. Terrell,et al.  New fast discrete Radon transform for enhancing linear features in noisy images , 1988 .

[10]  Sos S. Agaian,et al.  Transform-based image enhancement algorithms with performance measure , 2001, IEEE Trans. Image Process..

[11]  Artyom M. Grigoryan,et al.  Image enhancement by the tensor transform , 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

[12]  D Mendlovic,et al.  Fractional Hilbert transform. , 1996, Optics letters.

[13]  A. Zayed On the relationship between the Fourier and fractional Fourier transforms , 1996, IEEE Signal Processing Letters.

[14]  Ran Tao,et al.  Spectral Analysis and Reconstruction for Periodic Nonuniformly Sampled Signals in Fractional Fourier Domain , 2007, IEEE Transactions on Signal Processing.