Quaternion-Based Sparse Image Processing
Advances in Multispectral Processing
Published on 2. July 2025
400 pages
978-0-443-29245-3 (ISBN)
Description
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 basic and advanced concepts for graduate students, researchers, doctors, academics, and practitioners.
- Uncovers the innovative features of complex algebra, specifically the quaternion-sparse concept in image processing and how it can help in improving the computational efficiency of image processing
- Deals with the most common quaternion convolution neural network, quaternion wavelet, and sparse representation-based techniques in multispectral image processing
- Focuses on how evolution in algebraic concepts, i.e., quaternion and sparse, help in improving accuracy and efficiency of various color image restoration, reconstruction, and recognition
- Illustrates how important features are extracted and complete information is stored in extracted features to help and process tasks in an easy and computationally efficient way
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Other editions
Additional editions
Satya Prakash Yadav | Pethuru Raj | Fadi Al-Turjman
Quaternion-Based Sparse Image Processing
Advances in Multispectral Processing
Book
07/2025
Elsevier
€180.73
Shipment within 15-20 days
Content
1. Quaternion-Sparse based image processing: Applications, benefits and future challenge2. Technical challenges in using quaternion complex algebra for multimodal and Multispectral image processing3. Quaternion differential equations for multimodal and multispectral color image processing4. Quaternion cooler sparse representations for image processing: a technical review5. Quaternion sparse matrix optimization6. Collaborative and sparse representation of color image processing7. Robust sparse representation in quaternion space for multimodal image processing8. Sparse representation-based regularization for multimodal and multispectral image processing9. Fusion of multimodal, multispectral image processing using Quaternion Principal Component Analysis10. Experimental evaluation and validation of different variants of PCA on quaternion multispectral imaging11. Quaternion wavelet transformation for image processing: application, benefits and future challenges12. Discrete wavelet transformation on quaternion space13. De-noising in color images using quaternion discrete wavelet transformation14. Fundamentals of hypercomplex Fourier transform in quaternion space15. Application of Hypercomplex Fourier transform in quaternion space for skin image classification16. Quaternion neural network types of application, benefits and future challenges for multispectral image processing17. Quaternion neural network for geometrical operators in high dimensional quaternion space18. Image dehazing using quaternion complex algebra-based neural networks19. Classification of multispectral imaging using quaternion convolution neural network20. Phasor quaternion neural network for multimodal image processing
