基於影像複雜度之脈衝雜訊濾波器

Image complexity based impulse noise filter

胡力文(Li-Wun Hu)

指導教授 ： 孫崇訓

淡江大學/工學院/機械與機電工程學系碩士班/碩士(2011年)

https://doi.org/10.6846/TKU.2011.00079

摘要

本論文提出一個基於影像複雜度之脈衝雜訊濾波器。我們經由標準差和受汙染影像的直方圖，區分平滑或複雜區塊。經由模擬結果顯示SWM-I和SWM-II濾波器分別在平滑和複雜區塊有好的效果。因此，我們將SWM-I濾波器和SWM-II濾波器加入雜訊檢測機制，判斷像素是否遭受汙染。根據提出的方法，一張受汙染的影像可以分為平滑和複雜區塊，分別選取適當的濾波器。最終我們經由過濾後影像的峰值信號雜訊比率，驗證雜訊移除能力。

關鍵字

影像複雜度 ； 切換式中值濾波器 ； 脈衝雜訊

並列摘要

In this thesis, we propose an image complexity based impulse noise filter. We distinguish smooth or complex regions by standard deviation and histogram of the corrupted image. By simulation result, SWM-I and SWM-II filter have better capability in the smooth and complex region, respectively. Therefore, we incorporate the SWM-I and SWM-II filter into a noise detection mechanism to determine whether a pixel is corrupted. According to the proposed method, a corrupted image can be classed as smooth and complex regions the appropriate filters are selected to process the regions, respectively. Finally, we calculate Peak-Signal-to-Noise Ratio of filtered image to perform noise removal capability.

並列關鍵字

image complexity ； switching median filter ； impulse noise

參考文獻

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