Quaternion-Based Sparse Image Processing Advances in Multispectral Processing
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Form:Einzelkauf Download
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Sprache:Englisch
167,99 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
ePUB 3
Kopierschutz
Nein
Family Sharing
Nein
Text-to-Speech
Ja
Erscheinungsdatum
09.07.2025
Herausgeber
Satya Prakash Yadav + weitereVerlag
Elsevier Science & Techn.Seitenzahl
400 (Printausgabe)
Dateigröße
18232 KB
Sprache
Englisch
EAN
9780443292453
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
- 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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