02315nam a2200253 a 4500 vtls000056065 KUKTEM 20251117150456.0 111118t2011 si a f 001 0 eng d 9780470828496 0470828498 201202021024 asmadi 201111181042 sri UMP TK7895.E42 B35 2011 Bailey, Donald G. Design for embedded image processing on FPGAs / Donald G. Bailey Singapore : Wiley, 2011 xvi, 482 p. : ill. (some col.) ; 26 cm. Includes bibliographical references and index "Introductory material will consider the problem of embedded image processing, and how some of the issues may be solved using parallel hardware solutions. Field programmable gate arrays (FPGAs) are introduced as a technology that provides flexible, fine-grained hardware that can readily exploit parallelism within many image processing algorithms. A brief review of FPGA programming languages provides the link between a software mindset normally associated with image processing algorithms, and the hardware mindset required for efficient utilization of a parallel hardware design. The bulk of the book will focus on the design process, and in particular how designing an FPGA implementation differs from a conventional software implementation. Particular attention is given to the techniques for mapping an algorithm onto an FPGA implementation, considering timing, memory bandwidth and resource constraints, and efficient hardware computational techniques. Extensive coverage will be given of a range of image processing operations, discussing efficient implementations and how these may vary according to the application. The techniques will be illustrated with several example applications or case studies from projects or applications I have been involves with. Issues such as interfacing between the FPGA and peripheral devices will be covered briefly, as will designing the system in such a way that it can be more readily debugged and tuned"-- Provided by publisher Embedded computer systems Field programmable gate arrays 0 0 0 0 10000 10000 2019-09-04 455.14 0 TK7895.E42 B35 2011 0000061999 2019-09-04 00:00:00 1 455.14 2019-09-04 OPEN VIRTUA40 59114 59120 VTLSSORT0080*0200*0201*0400*0900*1000*2450*2600*3000*5040*5200*6500*6501*9991