可適性空間濾波器使用於彩色影像內插與雜訊消除

DEMOSAICKING ALGORITHM WITH NOISE REMOVAL BASED ON ADAPTIVE SPATIAL FILTER

許志隆(Chih-Lung Hsu)

指導教授 ： 林宗男

國立臺灣大學/電機資訊學院/電信工程學研究所/碩士(2004年)

https://doi.org/10.6342/NTU.2004.01021

摘要

摘要
數位相機已被廣泛的使用來當作影像的擷取裝置，便宜與攜帶方便視其重要的考量因素，因此為了達到降低成本與體積的考量所以大多數的數位相機採用單一感測裝置加上濾波片，所感測的影像我們稱之微色彩濾波陣列，本論文的主要內容之一是針對此彩色濾波陣列中所遺失的像素作內插，此內差的過程稱為彩色影像內插(或demosaicking)。本論文內容主要提出了四項貢獻，分別為第一我們提出non-cross權重判斷法修正傳統權重判斷法只能偵測垂直與水平邊緣的缺點，第二以色彩差異值域判斷權重，加強影像在頻率域上的資訊，使得影像的內插問題完全的侷限在低頻區域。第三 提出色彩平面期待值判斷區域影像內插法運用更大的內插視窗以及最後一個依據色彩平面期待值我們第一個提出了同時施行彩色影像內插與雜訊消除弁鄋犖t算法，此內插法不僅提高影像品質也可降低數位相機內的影像處理複雜度。

關鍵字

彩色影像內插 ； 雜訊消除

並列摘要

Digital Still Cameras have been widely used as input device for multimedia system and expected replace traditional cameras, most of commercially available Digital Still cameras are based on a single charge coupled device (CCD) array and capture color information by using three color filters, each sample point capturing only one sample of the color spectrum. In this paper we propose a color interpolation method for Single-chip Digital cameras. Electronic image sensors can be found not only in digital cameras, but also in many other imaging applications. The image sensor are small size and cost-efficient and they provide reasonable image size and image quality. The image quality can be improve by DSP process. In this paper we propose a combine demosaicking and noise removal algorithm method.

並列關鍵字

Demosaicking ； Noise revomal

參考文獻

[1] Adams, James E. "Interactions between color plane interpolation and other image processing functions in electronic photography" Proceedings of SPIE Vol. 2416 P.144-151

[3] Adams, James E. et.al., "Color Processing in Digital Cameras" Eastman Kodak Company

[5] R. Kimmel, “Demosaicing: image reconstruction from color CCD samples,” IEEE Trans. Image Processing, vol. 7, no. 3, pp. 1221–1228, 1999.

[6] Wenmiao Lu and Yap-Peng Tan, ”Color Filter Array Demosaicking New Method and Performance Measures” IEEE Transactions on Image Processing ,VOL. 12, NO 10, October 2003

[8]Keys, Robert.G. et.al., "Cubic Convolution Interpolation for Digital Image Processing" IEEE Transactions on Acoustic, Speech and Signal Processing, Vol ASSP-29, P1153-1160, 1981