By Topic

Predictive multiple sampling algorithm with overlapping integration intervals for linear wide dynamic range integrating image sensors

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Acosta-Serafini, P.M. ; Dept. of Electr. Eng. & Comput. Sci., Massachusetts Inst. of Technol., Cambridge, MA, USA ; Masaki, I. ; Sodini, C.G.

Many tasks performed by intelligent transportation systems involve processing of natural scenes. Wide dynamic range visible spectrum image sensors are required to achieve optimal processing performance. Recently several approaches that rely on the multiple sampling technique to achieve wide dynamic range have been presented. The behavior of a novel predictive variant of these algorithms is analyzed together with its key assumptions and limits to its performance and flexibility.

Published in:

Intelligent Transportation Systems, IEEE Transactions on  (Volume:5 ,  Issue: 1 )