Fundamentals of Digital Image Processing by Anil K. Jain (1988)

This book covers the fundamentals of digital image processing and provides a comprehensive overview of topics in the field.

It is organized into five sections: Image Representation, Image Enhancement, Image Restoration, Image Compression and Image Analysis.

It includes examples of digital image processing algorithms, and provides detailed explanations of the underlying principles.

It covers topics such as histogram processing, spatial transformations, filtering, noise models, camera models, edge detection, and segmentation.

It also covers topics such as image compression, object recognition, stereo vision, motion estimation, and pattern recognition.

It includes exercises, illustrations, and numerous real-world case studies.

It is suitable for both undergraduate and graduate courses in image processing, computer vision, and multimedia systems.

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