FANN-based video chrominance subsampling
نویسندگان
چکیده
In this paper, we present a video chrominance subsampling method using feedforward neural networks. Experimental results show that our method outperforms spatial subsampling obtained via lowpass filtering and decimation both objectively and subjectively. Other advantages of our algorithm are computational efficiency and low memory requirements. Moreover, no pre– or post–processing is required by our method.
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تاریخ انتشار 1998