Title :
Defocus-invariant image registration for phase-difference detection auto focusing
Author :
Spinoulas, Leonidas ; Katsaggelos, Aggelos K. ; Jinbeum Jang ; Yoonjong Yoo ; Jaehyun Im ; Joonki Paik
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA
Abstract :
This paper presents a defocus-invariant image registration method for measuring the shifting value between two differently located patterns in an imaging sensor. Existing registration methods fail with unfocused images since features or regions of interest are degraded by defocus. In order to solve this problem, the proposed method consists of three stages: i) pre-generation of the set of point spread functions (PSFs) estimated in different focusing positions, ii) the geometric transformation estimation using estimated PSF data, and iii) registration using estimated transformation matrix. The proposed method improves out-of-focus degradation through estimation of PSF. For this reason, the proposed method can accurately estimate the difference of phase between two out-of-focus images. Furthermore, it can be applied to phase-difference detection auto focusing, and provide accurate auto focusing performance.
Keywords :
image registration; matrix algebra; defocus-invariant image registration method; estimated PSF data; estimated transformation matrix; focusing position; geometric transformation estimation; imaging sensor; out-of-focus degradation improvement; out-of-focus images; phase difference estimation; phase-difference detection auto focusing; point spread function set pre-generation; shifting value measurement; unfocused images; Estimation; Focusing; Image edge detection; Image registration; Image restoration; Vectors; constrained least square filter; elastic registration; floating values; phase difference detection auto focus;
Conference_Titel :
Consumer Electronics (ISCE 2014), The 18th IEEE International Symposium on
Conference_Location :
JeJu Island
DOI :
10.1109/ISCE.2014.6884378