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

被引：4

作者：

Acosta-Serafini, PM ^{[1
]}

Masaki, I ^{[1
]}

Sodini, CG ^{[1
]}

机构：

[1] MIT, Dept Elect Engn & Comp Sci, Cambridge, MA 02139 USA

来源：

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS | 2004年 / 5卷 / 01期

关键词：

constant light intensity responsivity; machine vision; multiple sampling technique; wide dynamic range image sensors;

D O I：

10.1109/TITS.2004.825089

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

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.

引用

页码：33 / 41

页数：9

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