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Abstract: Local image matching (block-matching) is a frequent operation in many image processing tasks, such as MPEG compression and the estimation of optical flow and stereo disparities. Normalized cross-correlation (NCC) is particularly useful since it is insensitive to both signal strength and level. However, NCC is computationally expensive. In this article we attempt to speed up NCC first by transforming each sub-block of the image into the Walsh basis. The Walsh transform expansion can be done very ... (Update)
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BibTeX entry: (Update)
@techreport{ nilliuseklundh2002,
author = "Nillius, P. and Eklundh, J.-O.,",
title = "Fast Block Matching with Normalized Cross-Correlation",
institution = "KTH",
year = "2002",
number = "ISRN KTH/NA/P--02/11--SE",
url = "citeseer.ist.psu.edu/671654.html" }
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