Definitions and Notation -- Image Data Formats and Color Representation -- Reading and writing images with R: generating high quality output -- Contrast Manipulation -- Filters in the Image Domain -- Contrast Enhancement and Dimensionality Reduction by Principal Components
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This book introduces the statistical software R to the image processing community in an intuitive and practical manner. R brings interesting statistical and graphical tools which are important and necessary for image processing techniques. Furthermore, it has been proved in the literature that R is among the most reliable, accurate and portable statistical software available. Both the theory and practice of R code concepts and techniques are presented and explained, and the reader is encouraged to try their own implementation to develop faster, optimized programs
Introduction to Image Processing Using R : Learning by Examples