The principal objectives of this book are to provide an introduction to basic concepts and methodologies for digital image processing, and to develop a foundation that can be used as the basis for further study and research in this field. The material is timely, highly readable, and illustrated with numerous examples of practical significance. All mainstream areas of image processing are covered, including a totally revised introduction and discussion of image fundamentals, image enhancement in the spatial and frequency domains, restoration, color image processing, wavelets, image compression, morphology, segmentation, and image description. Coverage concludes with a discussion of the fundamentals of object recognition. A companion website www.prenhall.com/gonzalezwoods , provides additional support in the form of review material, answers to the selected problems, laboratory project suggestions, and a score of other features. The book is intended to college seniors undergraduate and post graduate students of electrical and computer engineering who have introductory preparation in mathematical analysis, vectors, matrices, probability, statistics and rudimentary computer programming. Table of Contents Preface Acknowledgements. About the Authors. 1. Introduction. 2. Digital Image Fundamentals. 3. Image Enhancement in the Spatial Domain. 4. Image Enhancement in the Frequency Domain. 5. Image Restoration. 6. Color Image Processing. 7. Wavelets and Multiresolution Processing. 8. Image Compression. 9. Morphological Image Processing. 10. Image Segmentation. 11. Representation and Description. 12. Object Recognition. Bibliography. Index.