Presentation + Paper
7 June 2024 Quaternion Fourier transform-based alpha-rooting color image enhancement in 2 algebras: commutative and non-commutative
Author Affiliations +
Abstract
In this paper, we describe new methods of color image enhancement alpha-rooting by the 2D quaternion discrete Fourier transform (QDFT) in the commutative algebra, or the (2,2)-model. In this model, the concept of the convolution is unique, which is very important when transforming tasks with color images into the frequency domain. Also, there are only two types of the exponential function and therefore only two QDFTs. Both these transforms can be used to reduce the convolution to operation of multiplication. Illustrative examples on color image enhancement are given. Measures of the image enhancement and selection of the best parameters of alpha-rooting are described. A comparison with the traditional non-commutative quaternion algebra is discussed and shown that the (2,2)-model is more effective in image enhancement.
Conference Presentation
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Artyom M. Grigoryan and Alexis A. Gomez Sr. "Quaternion Fourier transform-based alpha-rooting color image enhancement in 2 algebras: commutative and non-commutative", Proc. SPIE 13033, Multimodal Image Exploitation and Learning 2024, 1303304 (7 June 2024); https://doi.org/10.1117/12.3017692
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KEYWORDS
Image enhancement

Image processing

Convolution

Color image processing

Transform theory

Fourier transforms

Matrices

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