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Quaternion cartesian fractional hahn moments for color image analysis
Moment descriptors have been widely used for the analysis and representation of images. In this paper, we propose a new set of discrete orthogonal moments of fractional order, called Quaternion Cartesian Fractional Hahn Moments. The proposed QCFrHMs are based on new Fractional Hahn Polynomials and g...
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Published in: | Multimedia tools and applications 2022, Vol.81 (1), p.737-758 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Moment descriptors have been widely used for the analysis and representation of images. In this paper, we propose a new set of discrete orthogonal moments of fractional order, called Quaternion Cartesian Fractional Hahn Moments. The proposed QCFrHMs are based on new Fractional Hahn Polynomials and generalize the classical Quaternion Hahn Moments. First, FrHPs are proposed and defined using eigenvalue decomposition and the spectral representation of the classical Hahn polynomial matrix. Then, the proposed FrHPs are used as a kernel function to define the new Fractional Hahn Moments. Finally, based on quaternion algebra, the FrHMs for grayscale images are generalized to the QCFrHMs for color images. The proposed QCFrHMs depend on four parameters: two polynomial parameters and two fractional orders, which allow us to use them to propose a robust, blind and efficient watermarking scheme for the copyright protection of color images where the requirements of a watermarking scheme are successfully ensured thanks to the performance of the proposed QCFrHMs. Experimental results are provided to illustrate the effectiveness of the proposed color image descriptors. |
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ISSN: | 1380-7501 1573-7721 |
DOI: | 10.1007/s11042-021-11432-8 |