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Octonion Sparse-Based Image Processing: Multispectral Imaging and Feature Extraction - Mathematical Methods in the Digital Age
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Octonion Sparse-Based Image Processing: Multispectral Imaging and Feature Extraction - Mathematical Methods in the Digital Age
This book uncovers the innovative features of complex algebra i.e., the octonion -sparse concept in image processing and how it can help in improving the computational efficiency of image processing. It deals with the most common octonion convolution neural network, quaternion wavelet, and sparse representation-based techniques in multispectral image processing. The book focusses on how evolution in algebraic concepts i.e.
octonion and sparse helps in improving accuracy and efficiency of various color image restoration, reconstruction and recognition. It provides examples of research and real-world applications related to biometric security, medical image processing, face recognition, and how crucial characteristics are extracted. The main focus of this book is to bring all the related technologies, novel findings and managerial applications of Colored Medical Imaging on a single platform to provide great readability, easy understanding, and smooth adaptability of various basic and advanced concepts to the Undergraduate and Postgraduate students, Researchers, Managers, Designers, Academicians, and Practitioners doing work in this domain.
| メディア | 書籍 Hardcover Book (ハードカバー付きの本) |
| リリース済み | 2025年12月4日 |
| ISBN13 | 9783119146661 |
| 出版社 | De Gruyter |
| ページ数 | 376 |
| 寸法 | 150 × 220 × 20 mm · 752 g |
| 言語 | ドイツ語 |
| 編集者 | Al-Turjman, Fadi |
| 編集者 | Bansal, Abhay |
| 編集者 | De Albuquerque, Victor Hugo C. |
| 編集者 | Song, Houbing Herbert |
| 編集者 | Yadav, Satya Prakash |