Image Processing in C: Analyzing and Enhancing Digital Images
by Dwayne Philipps
Publisher: R & D Books 1997
Number of pages: 816
This book is a tutorial on image processing. Each chapter explains basic concepts with words and figures, shows image processing results with photographs, and implements the operations in C. The C code in this book is based on a series of articles published in The C Users Journal from 1990 through 1993, and includes three entirely new chapters and six new appendices. The text and accompanying source code provide working edge detectors, filters, and histogram equalizers, I/O routines, display and print procedures that are ready to use, or can be modified for special applications. This book is geared towards programmers seeking tools for image processing, ranging from the basics to advanced techniques. The code was compiled with Microsoft C v6. The code should run using other compilers with little modification.
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by Sudhakar Radhakrishnan - InTech
The book revolves around three different challenges namely (i) Coding strategies (coding efficiency and computational complexity), (ii) Video compression and (iii) Error resilience. The complete efficient video system depends upon source coding.
by Huiyu Zhou, Jiahua Wu, Jianguo Zhang - BookBoon
This book introduces the fundamental theories of modern digital image processing including intensity transformations, filtering in the frequency and spatial domain, restoration, colour processing, morphological operations, and segmentation.
by Robert Koprowski, Zygmunt Wrobel - University of Silesia,
The book focuses on image processing in Optical Coherence Tomography with the intention to demonstrate innovative approaches and solutions for challenging OCT images analysis. Presented algorithms entirely rely on data derived from OCT instrument.
by J. Starck, F.D. Murtagh, A. Bijaoui - Cambridge University Press
An introduction to a range of image-processing techniques with practical examples of applications in electrical engineering, astronomy, physics, and medical imaging. A guide to exciting data-analysis techniques for students and researchers.