Modular and parallel VLSI architecture of multi-dimensional quad-core GA co-processor for real time image/video processing

Abstract In modern days multi-dimensional signal processing has appeared as a trendy research area, including hyper-spectral image/video processing. It involves computationally complex algebraic equations, thereby considering conventional algebra incompetent. To alleviate this problem, Geometric Algebra (GA) establishes its competency uniquely due to its compact and less complex equations for operating in higher dimensional frameworks in contrast to the conventional one. Hardware realization is indispensible for any real time signal processing algorithm. As any GA based algorithm usually results in a significantly complex, outsized and sluggish digital circuit, it lags behind the conventional algebra in case of hardware implementation. Hence, in this article, a parallel-pipelined VLSI architecture of GA co-processor has been proposed to mitigate this intricacy, thereby becoming proficiently competent for computing a variety of GA operations. 4 channel parallelisms and 8-stage pipelining is the main attraction of our proposed design which does not necessitate any wait-state even in the situation of concurrent accessing of Memory. Supremacy of our design has been established over other state-of-the-art GA architectures in terms of number of processing cycle, latency and throughput. Superiority of our proposed design has also been proved in case of exemplary real time applications.