Share Email Print

Proceedings Paper

A fast, automatic camera image stabilization benchmarking scheme
Author(s): Jun Yu; Scott Craver
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

While image stabilization(IS ) has become a default functionality for most digital cameras, there is a lack of automatic IS evaluation scheme. Most publicly known camera IS reviews either require human visual assessment or resort to some generic blur metric. The former is slow and inconsistent, and the latter may not be easily scalable with respect to resolution variation and exposure variation when comparing different cameras. We proposed a histogram based automatic IS evaluation scheme, which employs a white noise pattern as shooting target. It is able to produce accurate and consistent IS benchmarks in a very fast manner.

Paper Details

Date Published: 24 January 2012
PDF: 7 pages
Proc. SPIE 8293, Image Quality and System Performance IX, 829308 (24 January 2012); doi: 10.1117/12.906197
Show Author Affiliations
Jun Yu, Binghamton Univ. (United States)
Scott Craver, Binghamton Univ. (United States)

Published in SPIE Proceedings Vol. 8293:
Image Quality and System Performance IX
Frans Gaykema; Peter D. Burns, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?