A flexible data-interlacing architecture for full-search block-matching algorithm

نویسندگان

  • Yeong-Kang Lai
  • Liang-Gee Chen
  • Yung-Pin Lee
چکیده

This paper describes a data-interlacing architecture with two-dimensional (2-D) data-reuse for full-search block-matching algorithm. Based on some cascading strategies, the same chips can be flexibly cascaded for different block sizes, search ranges, and pixel rates. In addition, the cascading chips can efficiently reuse data to decrease external memory accesses and achieve a high throughput rate. Our results demonstrate that the architecture with 2-D data-reuse is a flexible, low-pin-counts, high-throughput, and cascadable solution for full search block-matching algorithm.

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تاریخ انتشار 1997