Parallel VLSI design for a real-time video-impulse noise-reduction processor

  • Authors:
  • Shih-Chang Hsia

  • Affiliations:
  • Department of Computer and Communication Engineering, National Kaohsiung First University of Science and Technology, Kaohsiong 824, Taiwan, R.O.C.

  • Venue:
  • IEEE Transactions on Very Large Scale Integration (VLSI) Systems
  • Year:
  • 2003

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Abstract

High-quality televisions (TVs) such as improve digital TV, enhanced TV, and high-definition TV have become popular in recent years. However, impulse noise affects TV broadcasts. This paper proposes an efficient noise-removal algorithm using an adaptive digital signal-processing approach. Simulations have demonstrated that the new adaptive algorithm could efficiently reduce impulse noise even in highly corrupted images. In order to achieve real-time implementation, a cost-effective architecture is proposed using a parallel structure and pipelined processing. The proposed processor can achieve the throughput rate of 45M pixels/s using only 4k gates and two line buffers. Unlike median-filtering chips, this processor provides better filtering quality and its circuit is much less complex.