Quaternion-Based Sparse Image Processing

Advances in Multispectral Processing
Herausgeber: Yadav, Satya Prakash; Yadav, Sudesh; de Albuquerque, Victor Hugo Costa; Al-Turjman, Fadi; Raj, Pethuru

• Broschiertes Buch

Produktbeschreibung

The conventional method of processing an image is to express multispectral images as vectors or matrices. However, the quaternion representation offers a better alternative as it contains the complete information of features of color images. Quaternion-Sparse Image Processing: Advances in Multispectral Processing brings together the technologies, research and managerial applications of quaternion-sparse based complex algebra in image processing. The book covers the entire range of complicated tasks performed on color images, including denoising, reconstruction, classification, hallucination, feature extraction, dimension reduction, and regularization. It provides easy understanding and smooth adaptability of the basic and advanced concepts for graduate students, researchers, doctors, academics, and practitioners.

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Produktdetails

• Verlag: Elsevier Science
• Seitenzahl: 400
• Erscheinungstermin: 9. Juli 2025
• Englisch
• ISBN-13: 9780443292446
• ISBN-10: 0443292442
• Artikelnr.: 72488673

Inhaltsangabe

1. Quaternion-Sparse based image processing: Applications, benefits and
future challenge
2. Technical challenges in using quaternion complex algebra for multimodal
and Multispectral image processing
3. Quaternion differential equations for multimodal and multispectral color
image processing
4. Quaternion cooler sparse representations for image processing: a
technical review
5. Quaternion sparse matrix optimization
6. Collaborative and sparse representation of color image processing
7. Robust sparse representation in quaternion space for multimodal image
processing
8. Sparse representation-based regularization for multimodal and
multispectral image processing
9. Fusion of multimodal, multispectral image processing using Quaternion
Principal Component Analysis
10. Experimental evaluation and validation of different variants of PCA on
quaternion multispectral imaging
11. Quaternion wavelet transformation for image processing: application,
benefits and future challenges
12. Discrete wavelet transformation on quaternion space
13. De-noising in color images using quaternion discrete wavelet
transformation
14. Fundamentals of hypercomplex Fourier transform in quaternion space
15. Application of Hypercomplex Fourier transform in quaternion space for
skin image classification
16. Quaternion neural network types of application, benefits and future
challenges for multispectral image processing
17. Quaternion neural network for geometrical operators in high dimensional
quaternion space
18. Image dehazing using quaternion complex algebra-based neural networks
19. Classification of multispectral imaging using quaternion convolution
neural network
20. Phasor quaternion neural network for multimodal image processing