A Novel Spiking Cortical Model based Filter for Impulse Noise Removal
Автор: Xuming Zhang, Mingyue Ding, Yi Zhan, Yangchao Dou, Zhouping Yin
Журнал: International Journal of Engineering and Manufacturing(IJEM) @ijem
Статья в выпуске: 2 vol.1, 2011 года.
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A novel spiking cortical model based switching mean filter for removing impulse noise is presented. In the proposed filter, the noise detector using spiking cortical model is first adopted to identify the pixels that are likely to be corrupted by impulse noise. Then the detected impulses are removed by the weighted mean filter while the noise-free pixels are left unaltered. Extensive simulations show that the proposed filter outperforms a number of existing decision-based filters due to its excellent performance in terms of effectiveness in image restoration. Because of its outstanding restoration performance, the proposed filter can be used for noise removal in numerous consumer electronics products such as digital camera and digital television.
Impulse noise, spiking cortical model, noise detection, image restoration
Короткий адрес: https://sciup.org/15014120
IDR: 15014120
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