Abstract
The quaternion-based moments and transforms are among the essential tools for color image processing, and received increasing attention and interest from researchers. In this paper, a novel two-dimensional quaternion linear canonical series (2-D QLCS) for describing color images is introduced. The capabilities of the proposed 2-D QLCS on image representation and reconstruction are analyzed. The proposed 2-D QLCS can be acquired from the common two-dimensional linear canonical transform series (2-D LCTS). The relationships between 2-D QLCS and 2-D LCTS are investigated in detail. Experimental results verify the correctness of the proposed method and show that 2-D QLCS has ideal performance in terms of scale invariance, numerical stabilities and image representation.
Original language | English |
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Article number | 116574 |
Journal | Signal Processing: Image Communication |
Volume | 101 |
DOIs | |
Publication status | Published - Feb 2022 |
Keywords
- 2-D quaternion linear canonical series
- Image reconstruction
- Linear canonical transform
- Moment invariant
- Orthogonal transforms