Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/9216
標題: 基於模糊推論系統之新型色彩平衡演算法與其在數位相機之應用
A Novel Color Balance Algorithm Based on Fuzzy Inference Rules With Application to Digital Camera Systems
作者: 洪荷家
Hung, Ho-Chia
關鍵字: 色彩平衡;Color Balance;模糊推論;影像處理;Fuzzy Inference;Image Processing
出版社: 電機工程學系所
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摘要: 
色彩平衡已成為許多影像處理流程中不可或缺的步驟,許多高階之數位相機與攝影機內建光源感測器可以即時測量光照條件並根據獲得知影像色溫做對應的修正。通常未經過色彩平衡的影像會呈現整體色彩偏向某種顏色,即該影像有色偏,而色彩平衡便是為了補償光照影響而發展出來之一類影像處理演算法。由於人眼對於影像中之中性顏色特別敏感,補償這類顏色也就成為所有色彩平衡演算法最重要之一環。其中專門針對影像中的白色做補償之演算法被稱為白平衡演算,白平衡普遍被應用在日常消費電子產品如數位相機。現有的文獻方法過程都須對影像內容物進行推理與判斷,但景物內容以及光源的種類皆會影響效能好壞。
在本篇論文中,我們透過顏色科學基本學理與實驗結果提出基於模糊系統的新型色彩平衡演算法,直接使用模糊系統建構演算法之計算核心。此演算法必須先建立顏色樣本資料庫,利用在不同光源下擷取顏色樣本影像結果建立此資料庫。接著使用對顏色樣本資料庫分群結果建立模糊推論系統,並使其最佳化。最後,使用此模糊推論系統預測將未知光源下擷取的數位影像調整回正常光源下的影像所需要的修正量,再利用此修正量對未知光源下擷取的數位影像修正結果與現有方法進行比較。

Color balance algorithm has become an important part of image processing pipeline. Many high-class digital cameras have built-in sensors which can measure illuminant in real-time and make correction to the captured images. Before color balanced, images will appear to have been shifted towards one color or another, i.e., have color cast. A color balance algorithm is a class of image processing developed to remove color cast. Human eyes are sensitive to the neutral colors of the image. Most color balance algorithm is mainly aimed at these colors to adjust image. Color balance algorithms aiming at white color are known as white balance algorithms. White balance is widely used in electronics products such as digital cameras. The common problem of most existing methods is that scene contents and illuminants will affect the performance.
In this thesis, we propose a novel color balance algorithm based on fuzzy inference rules by basic concept of color and the experimental results. In this algorithm, we form color sample database with the images are captured in different illuminants at first. Second, we use clustering results of color sample database to form fuzzy inference system and optimize the system. Finally, we adjust the image in unknown illuminant to the image in standard illuminant with correction the fuzzy inference system forecast, and compare the result with existing methods.
URI: http://hdl.handle.net/11455/9216
其他識別: U0005-2108201212572900
Appears in Collections:電機工程學系所

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