and MATLAB focuses on efficient implementation of advanced image processingalgorithms for resource-constraint embedded DSP systems.Featuring TMS320C6000TMline popular Texas Instruments Digital Signal Processor, it uses a proven methodology beginning with high-level algorithm point of view, to continue to develop prototype code in MATLAB and Visual Studio, and concluding with an efficient implementation suitable for deployment on embedded DSP systems. Highlights include many debugged MATLAB and C / C + + Visual Studio prototype applications and efficient C implementation of real-world algorithms tested on both the C6416 DSK and C6701 EVM development platforms. Embedded Image Processing on the TMS320C6000? Imaging software developers and DSP users will also find this book applicable, because it covers a variety of signal processing and image building blocks that appear in a set of various real-world applications, including medical imaging, satellite imaging, digital photography, and pattern recognition, for a Few . It also can serve as a reference book for advancedimage processing, computer vision, and DSP students working in labs that use TI development kits or MATLAB.