Digital Image Processing: Second Edition
Condition: SECONDHAND
This is a secondhand book. The jacket image is a photograph of the exact copy we have in stock. This image shows the condition of this book. Further condition remarks are below.
Condition remarks:
Book: Good
Jacket: Very good
Pages: Good
At the crossroads of mathematics, computer science, and electrical engineering, Digital Image Processing stands as a definitive authority in its field, presenting the theoretical foundations and practical techniques that underpin the manipulation and analysis of digital images. Gonzalez and Wintz guide the reader through a rigorous curriculum that chronicles the full spectrum of image processing — from spatial and frequency domain methods, to image enhancement, restoration, compression, and segmentation — building each concept with meticulous clarity and mathematical precision. This landmark textbook argues that a deep understanding of image processing is inseparable from a mastery of its underlying mathematics, and the authors illustrate this principle through a wealth of worked examples and carefully constructed algorithms. Revered in both academic and professional circles, the second edition refines and expands upon its predecessor, cementing its status as an essential reference for students and engineers alike. Whether you are new to the discipline or seeking to sharpen your expertise, this volume will leave you questioning just how much of the visual world remains to be decoded.
Author: Rafael C. Gonzalez / Paul Wintz
Format: Hardback
Genre: Science
Condition remarks:
Book: Good
Jacket: Very good
Pages: Good
At the crossroads of mathematics, computer science, and electrical engineering, Digital Image Processing stands as a definitive authority in its field, presenting the theoretical foundations and practical techniques that underpin the manipulation and analysis of digital images. Gonzalez and Wintz guide the reader through a rigorous curriculum that chronicles the full spectrum of image processing — from spatial and frequency domain methods, to image enhancement, restoration, compression, and segmentation — building each concept with meticulous clarity and mathematical precision. This landmark textbook argues that a deep understanding of image processing is inseparable from a mastery of its underlying mathematics, and the authors illustrate this principle through a wealth of worked examples and carefully constructed algorithms. Revered in both academic and professional circles, the second edition refines and expands upon its predecessor, cementing its status as an essential reference for students and engineers alike. Whether you are new to the discipline or seeking to sharpen your expertise, this volume will leave you questioning just how much of the visual world remains to be decoded.