Modified Alpha-Rooting Color Image Enhancement Method On The Two-Side 2-D Quaternion Discrete Fourier Transform And The 2-D Discrete Fourier Transform
Artyom M. Grigoryan, Aparna John, Sos S. Agaian

TL;DR
This paper introduces a quaternion-based color image enhancement method using a modified alpha-rooting approach with 2-D quaternion discrete Fourier transform, outperforming traditional channel-by-channel methods in preserving original colors.
Contribution
It proposes a novel quaternion-based enhancement algorithm that processes color images in their original color space, improving color fidelity over traditional methods.
Findings
Quaternion approach yields images closer to original colors.
Enhanced images show higher CEME scores.
Method outperforms channel-by-channel enhancement techniques.
Abstract
Color in an image is resolved into 3 or 4 color components and 2-Dimages of these components are stored in separate channels. Most of the color image enhancement algorithms are applied channel-by-channel on each image. But such a system of color image processing is not processing the original color. When a color image is represented as a quaternion image, processing is done in original colors. This paper proposes an implementation of the quaternion approach of enhancement algorithm for enhancing color images and is referred as the modified alpha-rooting by the two-dimensional quaternion discrete Fourier transform (2-D QDFT). Enhancement results of this proposed method are compared with the channel-by-channel image enhancement by the 2-D DFT. Enhancements in color images are quantitatively measured by the color enhancement measure estimation (CEME), which allows for selecting optimum…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsImage and Signal Denoising Methods · Image Enhancement Techniques · Advanced Image Processing Techniques
