A Real-Time Method to Remove Motion Blur for Medical Capsule Inspection System
Date Issued
2014
Date
2014
Author(s)
Lin, Ting-Han
Abstract
Motion blur is a common phenomenon in photography. Blur may render the image useless and lead to inaccurate result. In many inspection industries, blur will cause large error and cannot be ignored. In this thesis, we propose a real-time method to improve motion blur for the medical capsule defect inspection system. We simplify the problem of dealing with motion blur with constant velocity k and moving horizontally. Based on double Haar wavelet transform, we estimate the length of blur kernel with auto-correlation and hill climbing searching algorithm. With the information of blur kernel, we are able to correct the proper coefficients in wavelet domain iteratively. We compare the deblur results and execution time of previous work and our method and achieve satisfactory results.
Subjects
去模糊
小波轉換
自相關
最佳化
登山法
Type
thesis
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