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Explore the fundamental principles, advanced methods, and practical algorithms that define the fields of digital holography and digital image processing. This comprehensive 1st Edition delves into the core techniques for analyzing, reconstructing, and manipulating digital images, offering essential insights for researchers, students, and practitioners working with computational imaging and holographic data.

Dive deep into the foundational theories and practical applications of sparse and redundant representations with this essential 2010 hardcover by Michael Elad. This comprehensive work is crucial for researchers and practitioners in signal processing and image processing, offering insights into advanced algorithms and methodologies that underpin modern computational imaging techniques.

Explore Mathematical Morphology and its powerful applications in analyzing and processing images and signals. This fundamental technique is crucial for advancements in computational imaging, computer vision, and various digital analysis tasks.