Digital Image Processing, now in its third edition, offers a thorough, self-contained foundation in the theory and practice of digital image analysis. Designed for seniors and first-year graduate students across various technical disciplines, this textbook combines conceptual insights with a wealth of illustrations to clearly explain essential topics. Covering a broad scope of applications, the book guides readers through key areas such as image fundamentals, spatial and frequency domain enhancement, restoration, color processing, wavelets, compression, morphology, segmentation, and elementary aspects of object recognition. Its rigorous approach ensures that both foundational and contemporary developments in the field are presented in a balanced, accessible manner. Published in 2008 by Pearson Education, Digital Image Processing continues its long-standing reputation as a definitive resource in image processing, aligning theoretical depth with practical relevance for both academic and applied environments.
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