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High-quality televisions (TVs) such as improved 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.