用影像合成達成相機模組之影像穩定

隨著現今數位相機以及手機相機的畫素數量大幅提昇、以及相機體積大幅的縮小，越多越多的新科技是希望能提升相片的品質。在這些技術當中，防手震技術是為了減少或是避免因為手震所產生的模糊影像。現今主要有兩類的防手震方式，分別是光學式、以及數位式防手震。在這篇論文裡面，我們提出從四張影像合成出一張沒有手震影像的系統。利用影像合成的技術以及從實驗上的比較，證明我們能夠重建出一張亮度正常且為銳利的影像。

關鍵字

防手震；影像合成

並列摘要

With the boosting of number of image sensor’s pixels and the compacter working volume of today’s digital still camera or camera phone, the need for better image quality has soared and drives more newly designed image processing techniques. Image stabilization, one of these newly techniques, plays an essential role in today’s camera design. As its words suggest, image stabilization is a system designed to reduce the amount of image blur due to human’s handshake or even preventing the chances of a blur. Currently, image stabilization can be carried out by optical lens solution or by digital image processing technique. In this thesis, we propose a digital image stabilization algorithm based on an image composition technique using four source images. By using image processing techniques, we are able to reduce the amount of image blur and compose a sharper image from four source images.

並列關鍵字

Image stabilization ； SIFT

參考文獻

[6] R. C. Gonzalez, R. E. Woods and S. L. Eddins, Digital Image Processing using MATLAB, Prentice-Hall, Upper Saddle River, New Jersey, 2004.

[11] D. G. Lowe, “Distinctive Image Features from Scale-Invariant Keypoints,” International Journal of Computer Vision, Vol. 60, No. 2, pp. 91-110, 2004.

[1] J. F. Chen, “Image Stabilization with Best Shot Selector and Super Resolution Reconstruction,” Master Thesis, Department of Computer Science and Information Engineering, National Taiwan University, 2005.