000 nam a22 7a 4500
999 _c29350
_d29350
008 190613b xxu||||| |||| 00| 0 eng d
020 _a9780470828496
082 _a621.39​9
_bBAI
100 _aBailey, Donald G.
245 _aDesign for embedded image processing on FPGAs
260 _bWiley & Sons,
_c2011
_aSingapore :
300 _axvi, 482 p. :
_bill. ;
_c25 cm.
365 _b170.00
_cUSD
_d00
504 _aIncludes bibliographical references and index.
520 _a"Dr Donald Bailey starts with introductory material considering 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 design process for implementing an image processing algorithm on an FPGA is compared with that for a conventional software implementation, with the key differences highlighted. 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 is given of a range of low and intermediate level image processing operations, discussing efficient implementations and how these may vary according to the application. The techniques are illustrated with several example applications or case studies from projects or applications the author has been involved with. Issues such as interfacing between the FPGA and peripheral devices are covered briefly, as is designing the system in such a way that it can be more readily debugged and tuned. Provides a bridge between algorithms and hardware. Demonstrates how to avoid many of the potential pitfalls. Offers practical recommendations and solutions. Illustrates several real-world applications and case studies. Allows those with software backgrounds to understand efficient hardware implementation."
650 _aEmbedded computer systems
650 _aField programmable gate arrays
650 _aComputer Engineering
650 _aMachine theory
650 _aElectronics
650 _aMicroelectronics
650 _aTechnology engineering
942 _2ddc
_cBK