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  • 學位論文

運用高低通濾波器結合技術在單張圖像上去除雨紋

A Removing Rain Streaks Technology for Single Image by Combining High Pass and Low Pass Filters

指導教授 : 涂世雄 涂世雄
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摘要


本論文提出了一個簡單的高低通濾波器結合的方法去除雨紋,利用高低通濾波器,分離圖像中的高頻(雨紋部分)與低頻(背景部分),並保持原本的輪廓與背景圖案完成去除雨紋。 在高低通濾波器結合的方法中,平滑濾波器(低通)是為了在原本的圖像中較不明顯的雨紋做平滑,之後與原本圖像相減,獲得在原本圖像中,雨紋較明顯的部分,之後透過閥值處理以及參數設定調整,獲得只有雨紋部分的圖像。而高通濾波器主要目的是為了與原本的圖像做相加,得到原本圖像中加強過的輪廓,例如人臉,這部分稱為影像強化。透過高低通濾波器結合方法後得到雨紋部分的圖像與影像強化的圖像,並且將兩者相減,最後運用ROM filter的改良進行去除雨紋,得到去除雨紋的圖像。 本篇論文的研究結果貢獻如下: 1. 我們利用簡單的高低通濾波器的結合,將雨紋、輪廓與背景部分顯示出來,透過 ROM filter的運用,可以有效去除雨紋,並且保護背景與輪廓。 2. 可以透過參數值的調整,得到各種去除雨紋程度的圖像。

並列摘要


In this thesis, we propose to remove rain streaks by high pass and low pass filter method of combination. In the image, the low frequency component is background and the high frequency components are contour and rain streaks by combining high pass and low pass filters. The method which we proposed can remove rain and keep the original background and contour. First, we reduce impact of rain streaks by smooth filter (LPF). The rain streaks component is the difference between the original image and smooth filtered image. After that, through threshold process and adjust parameters to change for level of removing rain image. Second, in order to highlight contour for image, e.g. edge image, this is generated by high pass filter. The image enhancement is obtained by sum of edge image and original image. Finally, by implementing ROM filter from difference of the rain streaks component and the image enhancement generate a removal rain image. In this thesis, the results of our research are as follows: 1. We highlight rain streaks components, background components and contour of image in image by a simple combination for high pass and low pass filter method. After that, use ROM filter to generate removing rain image. 2. We can adjust parameter to change for level of removing rain image.

參考文獻


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