Titlebook: Design of Image Processing Embedded Systems Using Multidimensional Data Flow; Joachim Keinert,Jürgen Teich Book 2011 Springer Science+Busi

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2193-0155 synthesis, using multidimensional data flow, along with a deThis book presents a new set of embedded system design techniques called multidimensional data flow, which combine the various benefits offered by existing methodologies such as block-based system design, high-level simulation, system analy

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Invertebrate Zoology (other than insects),streams of data. Efficient implementation is only possible by exploiting different kinds of parallelism, namely task, data, and operation-level parallelism (see Section 2.5). Out-of-order communication and sliding windows with parallel data access require complex communication synthesis.

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Design of Image Processing Embedded Systems Using Multidimensional Data Flow

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Memory Mapping Functions for Efficient Implementation of WDF Edges,, 59]. One possibility to limit these power requirements consists in trying to reduce the amount of required buffer size, since individual memory accesses become more expensive with increasing capacities [60, 245, 17, 109, 59]. Essentially, this can be explained by the leakage power of each individu

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Design of Image Processing Applications, messages. Consequently a huge effort has been undertaken in developing algorithms for image enhancement, transformation, interpretation, and compression. Whereas in the past computational capacities have shown to be the limiting factor, the recent progress in design of semiconductor devices allows

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