Digital Image Processing, Illustration using Python

Digital Image Processing Illustration using Python

Master the visual language of the digital age. Digital Image Processing, Illustration using Python bridges the crucial gap between complex mathematical transformations and practical, hands-on implementation. This comprehensive guide equips developers, students, and researchers with the tools needed to manipulate, analyze, and enhance digital images.

Note: This is a digital product. A secure download link will be sent to your email address immediately after payment.

What You Will Learn:

• Foundational Imaging: The core principles of pixel manipulation, color spaces, and geometric transformations using Python.
• Enhancement & Filtering: How to leverage spatial and frequency domain filters to improve image quality and reduce noise.
• Advanced Segmentation: Techniques for identifying objects, detecting edges, and partitioning images for automated analysis.
• Python Library Mastery: Practical applications using industry-standard libraries such as OpenCV, NumPy, and Scikit-image.

Key Topics:

• Image Restoration and Reconstruction.
• Morphological Image Processing.
• Feature Extraction and Pattern Recognition.
• Wavelets and Multiresolution Processing.

Who This Book is For: This text is designed for computer science students, AI researchers, and software engineers looking to specialize in computer vision and automated visual recognition.

Product Details:

Format: Digital PDF Download

Authors: S Esakkirajan; T Veerakumar; Badri Narayan Subudhi

Publisher: Springer Nature Singapore

Publication Date: September 28, 2025

ISBN-13: 9789819663811

ISBN-10: 9819663814