研究生: |
王齊宇 Chi-Yu Wang |
---|---|
論文名稱: |
結合中值濾波與影像修補策略的一個適用於高密度脈衝
雜訊影像之高效雜訊去除方法 An Effective Hybrid Denoising Method based on Median Filter and Inpainting Technique for High-density Impulse Noise |
指導教授: |
鍾國亮
Kuo-Liang Chung |
口試委員: |
陳秀娘
Hsiu-Niang Chen 黃詠淮 Yong-Huai Huang 陳德釧 Teh-Chuan Chen 花凱龍 Kai-Lung Hua |
學位類別: |
碩士 Master |
系所名稱: |
電資學院 - 資訊工程系 Department of Computer Science and Information Engineering |
論文出版年: | 2014 |
畢業學年度: | 102 |
語文別: | 英文 |
論文頁數: | 47 |
中文關鍵詞: | 脈衝雜訊 、影像修補策略 、中值濾波器 、雜訊去除 、雜訊模型 |
外文關鍵詞: | Impulse noise, inpainting technique, median filtering, noise removal, noise models. |
相關次數: | 點閱:277 下載:1 |
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在本論文中,提出一個結合中值濾波與影像修補策略針對高密度脈衝雜訊影像之雜訊去除方法。首先利用影像灰階值直方圖的分布來分辨可能的雜點,接著針對判斷出的可能雜點計算該點周圍非雜訊點的數量然後按照數量之高低排序,做為移除雜訊的順序。當周圍雜訊點的數量大於一個特定的門檻值,影像修補策略將會作用來移除雜訊,反之則採用中值濾波法。基於四張標準測試影像,實驗結果演示在高密度脈衝雜訊環境中,提出的方法會優於其他最新發展的相關方法。
In this thesis, an effective median filter- and inpainting-based method for high density impulse noise removal is proposed. We first utilize the histogram distribution to identify the possible corrupted pixels. For each corrupted pixel, we count the number of uncorrupted neighboring pixels, and then a sorting process is applied to schedule the order of noise removal. For the current corrupted pixel, when the number of corrupted neighboring pixels is larger than the specified threshold, an inpainting technique is applied to remove the noise; otherwise, a median filter is applied. Based on four typical test images, experimental results demonstrate that for high-density impulse noise circumstance, the proposed noise removal method outperforms the state-of-the-art method by Hong et al. and some other related methods.
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