Embedded Image Processing on the TMS320C6000 DSP: Examples in Code Composer Studio and MATLAB | Date: 08 May 2011, 00:56
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Embedded Image Processing on the TMS320C6000T DSP: Examples in Code Composer StudioT and MATLAB focuses on efficient implementations of advanced image processing algorithms for resource-constrained embedded DSP systems. Featuring the popular Texas Instruments TMS320C6000TM line of Digital Signal Processors, it utilizes a proven methodology of beginning with a high-level algorithmic point-of-view, proceeding to develop prototype code in MATLAB and Visual Studio, and concluding with an efficient implementation suitable for deployment on an embedded DSP system.
Aside from image processing, the author also explains the uses and rationale behind a plethora of technologies, most notably several industry-standard and essential TI developer technologies, including the Code Composer StudioT IDE. Highlights include numerous debugged MATLAB and C/C++ Visual Studio prototype applications and efficient C implementations of real-world algorithms tested on both the C6416 DSK and C6701 EVM development platforms.
Packaged with the book is a CD-ROM which includes the source code, tested and debugged using the latest versions of developer tools, as well as sample image data. The CD-ROM contains a number of projects, spanning a diverse range of image processing applications such as, spatial processing techniques, image filtering, edge detection and segmentation schemes, and wavelet-based algorithms, among others.
Embedded Image Processing on the TMS320C6000T DSP: Examples in Code Composer StudioT and MATLAB is an essential book for professional signal & image processing engineers working with TI DSPs where real-time constraints are present and performance is at a premium. Imaging software developers and DSP users will also find this book applicable, as it covers a variety of image and signal processing building blocks that appear in a diverse set of real-world applications, including medical imaging, satellite imaging, digital photography, and pattern recognition, to name a few. It may also serve as a reference work for advanced image processing, computer vision, and DSP students working in labs that use TI development kits or MATLAB.
From the reviews:
"This book focuses on embedded image processing ... . Overall, the book is well written and succeeds in filling a big void in image processing literature, tackling how to efficiently implement signal and image processing algorithms using embedded processors. There is no better way to learn than by example, and the book offers plenty of them. The book and the accompanying source code in the CD-ROM should be valuable resources to all signal processing practitioners who want to embark on embedded DSP programming." (Konstantinos Konstantinides, IEEE Signal Processing Magazine, May, 2007)
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