Quaternion-Based Sparse Image Processing: Advances in Multispectral Processing

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.