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Lian et al. [8] presented a method based on nonsampled contourlet transform (NSCT).
A new matching cost computation method based on nonsubsampled contourlet transform (NSCT) for stereo image matching is proposed in this paper.
Therefore, this paper presents an approach for designing the contourlet filter based on the Chebyshev best uniform approximation for achieving an efficient image denoising applications using hidden Markov tree models in the contourlet domain.
In this paper, we propose a novel watermarking algorithm based on non-subsampled contourlet transform (NSCT) for improving the security aspects of such images.
The localization techniques are, respectively, based on adapted Fourier transform and frequency-wavenumber transform.
The proposed scheme is based on the differential transform method (DTM), Laplace transform and Padé approximants.
De-noising based on wavelet transform footprints [26, 27].
Based on Arnold transform and discrete fractional angular transform, a double image encryption algorithm is designed.
One is based on affine transform, and another is based on multi-resolution curve analysis.
One based on Hilbert transform, and the other based on TFD (EMD).
An analytical technique based on Laplace transform is employed.
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