Super-resolution PIV by Recursive Local-correlation

Article type: Research Article

Authors: Hart, D.P.

Affiliations: Massachusetts Institute of Technology, Department of Mechanical Engineering, Room 3-246, Cambridge, MA 02139- 4307, USA. e-mail: dphart@mit.edu

Abstract: This paper presents a method of accurately determining the displacement of tracer particles between two images using recursive correlation. The local correlation value is iteratively arrived at through successive approximations of local displacement using increasingly smaller regions of determination. By starting with a large search area and iteratively narrowing the search restricting the search after each iteration based on the resulting calculation, very high-resolution PIV processing can be achieved. Spurious vectors are eliminated and accuracy and processing speed is maintained by correlating images in compressed (sparse array) format using second-order spatial correlation. The methodology of this unique image analysis method is presented along with a discussion of its limitations and applicability.

Keywords: super-resolution, PIV, correlation

Journal: Journal of Visualization, vol. 3, no. 2, pp. 187-194, 2000