Deblurring a Camera- Shake Image Using a Thinning Kernel
學年 107
學期 1
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 en_US
收錄於
會議性質 國際
校內研討會地點 無
研討會時間 20180910~20180914
通訊作者
國別 TWN
公開徵稿
出版型式
出處 Proceedings of the 6th IIAE International Conference on Intelligent Systems and Image Processing 2018
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/120344 )