教師資料查詢 | 類別: 會議論文 | 教師: 顏淑惠 Yen Shwu-huey (瀏覽個人網頁)

標題:Deblurring a Camera- Shake Image Using a Thinning Kernel
學年
學期
發表日期2018/09/10
作品名稱Deblurring a Camera- Shake Image Using a Thinning Kernel
作品名稱(其他語言)
著者Shwu-Huey Yen; Pin-An Chen; Hwei-Jen Lin
作品所屬單位
出版者
會議名稱The International Conference on Intelligent Systems and Image Processing (ICISIP 2018)
會議地點Matsue, Japan
摘要The task of blind deblurring usually consists of
estimation of interim images and blur kernels. Due to the lack of information in kernels compared to that in interim images, when only a blurred image is available, most of deblurring methods emphasis the estimation of interim images. However, the resulting kernel is often wider than it should be, thus degrading the quality of the deconvolved image. To remedy the problem of wide kernels, we present a thinning scheme to better estimate a kernel. In this way, a
clear image can be recovered from a camera-shake blurred image. To mitigate the insufficient information of blur kernels, we make simple inferences and assumptions for kernels based on the trajectory of the camera shake. Under these inferences and assumptions, we use a three-step approach to estimate the blur kernel. Firstly, we relax the condition to find the shape of the blur kernel. Next, we use a thinning algorithm to obtain the skeleton of the blur
kernel. Thirdly, we reweight the blur kernel by Gaussian distribution. By repeating these steps a few times we can get a more accurate blur kernel. Finally, we can reconstruct a high quality deblurred image by using the blur kernel. The proposed method is tested by a public database and our results outperform those of two similar methods.
關鍵字blind deconvolution;blur kernel;camera-shake;deblur;interim image
語言英文(美國)
收錄於
會議性質國際
校內研討會地點
研討會時間20180910~20180914
通訊作者
國別中華民國
公開徵稿
出版型式
出處Proceedings of the 6th IIAE International Conference on Intelligent Systems and Image Processing 2018
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