影像穩定演算法:選擇最佳照片與超解析度重建

在本論文中，我們提出一個影像穩定演算法，並且實做出選擇最佳照片的方法和超解析度重建影像。影像穩定系統主要可分為光學式與數位式。光學式影像穩定系統是應用迴轉儀的原理，加上一組位移補償鏡頭，來消除相機震動的影響。數位式影像穩定系統應用影像處理的演算法，來回復影像品質。選擇最佳照片的方法是藉由連拍來避免拍攝到模糊影像，從連拍中儲存一張最清楚的照片。即使連拍的照片不夠清楚，超解析度重建更進一步地將模糊的照片合成清晰的影像。實驗結果顯示我們的影像穩定演算法確實可以選出清楚的照片，並且使影像更清晰，也符合使用者的主觀選擇。

關鍵字

影像穩定；超解析度

並列摘要

In this thesis, we present an image stabilization algorithm based on Nikon’s Best Shot Selector. We implement Best Shot Selector and use super resolution concept to reconstruct blurred images. Image stabilization includes optical and digital methods. Optical stabilization applies gyroscopic sensors and corrective lens to compensate camera shake optically. Digital stabilization applies image processing algorithms to restore motion blurs. Best Shot Selector avoids the risk of capturing blurred images by sequential capturing and selection. Furthermore, super resolution reconstruction combines images into a sharper image even if the result image of Best Shot Selector is blurred. The experiment results show that our image stabilization algorithm indeed selects and enhances the sharpest image.

並列關鍵字

image stabilization ； best shot selector ； super resolution

參考文獻

[2] D. Capel and A. Zisserman, “Computer Vision Applied to Super Resolution,” IEEE Signal Processing Magazine, Vol. 20, No. 3, pp. 75-86, 2003.

[3] R. C. Gonzalez and R. E. Woods, Digital Image Processing, 2nd Ed., Prentice-Hall, Upper Saddle River, New Jersey, 2002.

[10] D. Van Domelen, “Getting around the Coriolis Force,” http://www.physics.ohio-state.edu/~dvandom/Edu/newcor.html, 2000.

[1] H. Abe, “Applications Expand for Downsized Piezoelectric Vibrating Gyroscopes,” Asia Electronics Industry, Vol. 8, No. 79, pp. 49-50, 2003.

Google Scholar

[4] C. Harris and M. Stephens, “A Combined Corner and Edge Detector,” Proceedings of Alvey Vision Conference, Manchester, UK, pp. 147-151, 1988.

Google Scholar

國際替代計量

影像穩定演算法:選擇最佳照片與超解析度重建

全文下載

主題瀏覽