Paper Info
Title
Enhancement Of Out-Of-Focused Images Using Fusion-Based Psf Estimation And Restoration
Abstract
In this paper, we propose an enhancement algorithm of out-of-focused images using fusion-based Point-spread-function (PSF) estimation and restoration. The proposed algorithm can make in-focused image by using only digital image processing techniques, and it requires neither infrared light / ultrasound nor focusing lens assembly operated by electrically powered movement of focusing lens.In order to increase accuracy in estimating the PSF of the defocus image, the proposed algorithm finds true and linear edges by using Canny edge detector, which is optimal edge detector and has good localization, estimates the step response across the edge for each pixel, computes the one-dimensional step response by averaging the step responses, estimates the two-dimensional PSF from the averaged step response, and then provides in-focused image by image restoration filter based on the estimated PSF. Finally, we execute fusion process, which can enhance the quality of the fused image by fusing restored images.There is a limit of the amount of out-of-focus, which can be recovered by the proposed algorithm. Moreover, the proposed algorithm is operating under assumption that an input image contains at least one piece-wise linear boundary between an object and background. In spite of above-mentioned limitations, the proposed algorithm can make acceptable quality of focused image by using only digital image processing.
Year
DOI
Venue
2001
10.1117/12.411863
VISUAL COMMUNICATIONS AND IMAGE PROCESSING 2001
Keywords
DocType
Volume
point-spread-function, canny edge detection, auto focusing, restoration, image fusion
Conference
4310
ISSN
Citations 
PageRank 
0277-786X
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Joonshik Yoon101.01
Jeongho Shin212417.26
Joon Ki Paik312918.73