Impulse noise removal using SVM classification based fuzzy filter from gray scale images
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- 作者：Amarjit Roy royamarjit90@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Joyeeta Singha joyeetasingha26@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Salam Shuleenda Devi shuleenda26@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Rabul Hussain Laskar rabul18@yahoo.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Impulse noise ; Support vector machine ; Artificial neural network ; Fuzzy filter
- 刊名：Signal Processing
- 出版年：2016
- 出版时间：November 2016
- 年：2016
- 卷：128
- 期：Complete
- 页码：262-273
- 全文大小：2613 K
文摘
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SVM with histogram based fuzzy filter is proposed to remove impulse noise.
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Pixels can be either noisy or non-noisy based on knowledge from training phase.
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Noisy pixels in images are detected even if trained and test image are different.