17851Digital electronics : a practical approach with VHDL : 9th ed.
Ninth edition, offers students an easy-to-learn-from resource that emphasizes practical application of circuit design, operation, and troubleshooting. Over 1,000 annotated color figures help explain circuit operation or emphasize critical components and input/output criteria. Throughout the text, the author employs a step-by-step approach that takes students from theory to example to application of the concepts. Over all nine editions, Kleitz has consistently sought out student feedback, along with his own experience of teaching the course in-class and on-line, to improve each new edition.
17852Digital electronics : principles and applications : 8th ed.
Digital Electronics: Principles and Applications provides a concise, modern approach to this fascinating subject. It has been written so that a student needs no prior knowledge of electrical theory and principles, and at a level that allows students with limited math and reading skills, to gain a clear understanding of concepts and applications covered in a digital electronics course.
17853Digital foundations : intro to media design with the Adobe creative suite
This text teaches classic design principles alongside the basic digital tools of Adobe's Creative Suite. Students will learn the basic principles of design and how to implement them using current software. It also integrates formal exercises of the Bauhaus 'basic course' into tutorials that focus on core software methodologies.
17854Digital image processing
This book covers these new developments in this dynamic field. Five sections explore the characterization of continuous images, image sampling and quantization techniques along with the mathematical representation of discrete images, two-dimensional signal processing techniques, image enhancement and restoration techniques and image analysis.
17855Digital image processing
Chapter 1: Introduction; Chapter 2: Digital image fundamentals; Chapter 3: Image transforms; Chapter 4: Image enhancement; Chapter 5: Image restoration; Chapter 6: Image compression; Chapter 7: Image segmentation; Chapter 8: Representation and description; Chapter 9: Recognition and interpretation.
17856Digital image processing : 3rd ed. (with CD)
Completely self-contained-and heavily illustrated-this introduction to basic concepts and methodologies for digital image processing is written at a level that truly is suitable for seniors and first-year graduate students in almost any technical discipline. It continues its cutting-edge focus on contemporary developments in all mainstream areas of image processing-e.g., image fundamentals, image enhancement in the spatial and frequency domains, restoration, color image processing, wavelets, image compression, morphology, segmentation, image description, and the fundamentals of object recognition.
17857Digital image processing : 4th ed.
1. Introduction. 2. Digital image fundamentals. 3. Intensity transformations and spatial filtering. 4. Filtering in the frequency domain. 5. Image restoration and reconstruction. 6. Wavelet and other image transforms. 7. Color image processing. 8. Image compression and watermarking. 9. Morphological image processing. 10. Image segmentation I edge detection, thresholding and region detection. 11. Image segmentation II active contours. 12. Feature extraction. 13. Image pattern classification.
17858Digital image processing : a systems approach
Introduction to digital processing; Digital image acquisition systems; Subjective image processing techniques; Quantitative image processing techniques;..
17859Digital image processing of remotely sensed data
Chapter 1: Summary of basic concepts; Chapter 2: Data sources; Chapter 3: Computer processing; Chapter 4: Algorithms; Chapter 5: Application examples; Chapter 6: Research topics; Chapter 7: Practical issues.
17860Digital Image Processing with C++ : implementing reference algorithms with the CImg library
Digital Image Processing with C++: Implementing Reference Algorithms with the CImg Library presents the theory of digital image processing and implementations of algorithms using a dedicated library. Processing a digital image means transforming its content (denoising, stylizing, etc.), or extracting information to solve a given problem (object recognition, measurement, motion estimation, etc.). This book presents the mathematical theories underlying digital image processing, as well as their practical implementation through examples of algorithms implemented in the C++ language using the free and easy-to-use CImg library.