Efficient subpixel image registration by cross-correlation

Registers two images (2-D rigid translation) within a fraction of a pixel specified by the user.

이 제출물을 팔로우합니다

Registers two images (2-D rigid translation) within a fraction of a pixel specified by the user. Instead of computing a zero-padded FFT (fast Fourier transform), this code uses selective upsampling by a matrix-multiply DFT (discrete FT) to dramatically reduce computation time and memory without sacrificing accuracy. With this procedure all the image points are used to compute the upsampled cross-correlation in a very small neighborhood around its peak. This algorithm is referred to as the single-step DFT algorithm in [1].
[1] Manuel Guizar-Sicairos, Samuel T. Thurman, and James R. Fienup, "Efficient subpixel image registration algorithms," Opt. Lett. 33, 156-158 (2008).
Please refer to the attached HTML for more details and a sample implementation.

인용 양식

Manuel Guizar (2026). Efficient subpixel image registration by cross-correlation (https://kr.mathworks.com/matlabcentral/fileexchange/18401-efficient-subpixel-image-registration-by-cross-correlation), MATLAB Central File Exchange. 검색 날짜: .

카테고리

Help CenterMATLAB Answers에서 Geometric Transformation and Image Registration에 대해 자세히 알아보기

일반 정보

MATLAB 릴리스 호환 정보

  • 모든 릴리스와 호환

플랫폼 호환성

  • Windows
  • macOS
  • Linux
버전 퍼블리시됨 릴리스 정보 Action
1.1.0.0

Rewrote portions of the code for improved consistency and better readability, added BSD license.
Revise license text
Small update

1.0.0.0