Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/72740
標題: 使用影像修補技術消除數位單眼相機感光元件染塵
作者: 吳俊霖 
盧敏曜
關鍵字: Sensor dust;感光元件染塵;Image inpainting;Texture synthesis;Noise removal;影像修補;材質合成;雜訊去除
出版社: 國立中興大學工學院;Airiti Press Inc.
Project: 興大工程學刊, Volume 18, Issue 3, Page(s) 187-198.
摘要: 
隨著單眼相機在消費市場上越來越普遍,使用人數逐年增加,這使得數位單眼相機容易出現感光元件染塵(即CCD染塵現象)的問題變得不容忽視。雖然有CCD染塵現象的數位單眼相機可以送往廠商以人工手動清除,不過通常價格昂貴,而且一不小心就有可能傷及CCD,到時候可能更要花一大筆費用來修理,得不償失。最近有一些相機廠商發明出「感光元件自我清理架構」,利用壓電元件產生超音波震動,讓粉塵脫落,不過對於黏度較高的粉塵,則效果不彰。
於是有人提出用傳統去雜訊的方法來將影像上的粉塵清除,由於粉塵雜點比一般雜訊要大得多,因此如果只是使用一般中值濾波器將會失敗。另外,也有人提出利用市面上的影像處理軟體,例如Photoshop的修復筆刷工具與PhotoImpact的修容工具等,來將粉塵拿掉,但是類似這樣的工具,都必須自己手動選取要拿掉的粉塵並自己找材質來填補,因此耗時耗力。而本篇論文的目的則是提出一個能夠自動偵測粉塵的演算法,同時利用影像修補的技術,將影像上令人困擾的粉塵去除,並且維持影像中的材質與線性結構的完整。實驗結果顯示,所提演算法能有效解決數位影像的感光元件染塵問題。

The digital cameras are becoming more and more popular nowadays. Digital SLRs not only allow photographers to use inter-changeable lenses to get different ranges of zoom and depth of field, but also give the users more control, it helps to take a better picture. Recently the number of digital SLR users is rising steadily as the equipments drop in price. However, unlike film cameras, current digital SLRs suffer from a frustrating weakness: sensor dust. It is obvious that the dust can damage the photos seriously. Clearning dust on sensors is almost universally warned against by camera makers. If we remove the dust directly by the sensor brush, we might scratch or otherwise damage the cover glass over the sensor, therefore are responsible for the cost of repairs. Camera manufacturers have introduced the dust-reduction solution that involves anti-static coatings and vibration-cleaning of the low-pass filter. However, they can not remove the dust particles with high viscosity effectively.
Some photographers propose to correct this problem in software. The traditional noise reduction methods such as median filter do not perform well in removing the dust spots, since the size of the noise in digital photos caused by dust is large. Some image editing software such as Adobe Photoshop and Ulead Photoimpact also provide the healing brush and clone stamp to stamp out the dust specs, one at a time. However, it is a time-consuming and tedious process if we are taking many photos that suffer from this problem. In this paper, we deveop an automatic spots removal algorithm based on the inpainting technique. We first propose a noise detection algorithm to identify the dust spots, it uses Sobel filter and the process is fully automatic. A fast exemplar-based image inpainting approach is then proposed to fill holes of dust spots in images, it achieves accurate propagation of linear structures. Several examples on real images are given to demonstrate the effectiveness of the proposed method.
URI: http://hdl.handle.net/11455/72740
ISSN: 1017-4397
Appears in Collections:第18卷 第3期
工學院

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