Paper Info
Title
Scene-based non-uniformity correction: From algorithm to implementation on a smart camera
Abstract
Raw output data from image sensors tends to exhibit a form of bias due to slight on-die variations between photodetectors, as well as between amplifiers. The resulting bias, called fixed pattern noise (FPN), is often corrected by subtracting its value, estimated through calibration, from the sensor's raw signal. This paper introduces an on-line scene-based technique for an improved fixed-pattern noise compensation which does not rely on calibration, and hence is more robust to the dynamic changes in the FPN which may occur slowly over time. This article first gives a quick summary of existing FPN correction methods and explains how our approach relates to them. Three different pipeline architectures for realtime implementation on a FPGA-based smart camera are then discussed. For each of them, FPGA implementations details, performance and hardware costs are provided. Experimental results on a set of seven different scenes are also depicted showing that the proposed correction chain induces little additional resource use while guarantying high quality images on a wide variety of scenes.
Year
DOI
Venue
2013
10.1016/j.sysarc.2013.05.017
Journal of Systems Architecture - Embedded Systems Design
Keywords
Field
DocType
raw output data,fpn correction method,different pipeline architecture,scene-based non-uniformity correction,different scene,fixed pattern noise,proposed correction chain,smart camera,fpga implementations detail,resulting bias,raw signal,improved fixed-pattern noise compensation
Fixed-pattern noise,Noise compensation,Image sensor,Computer science,Smart camera,Field-programmable gate array,Photodetector,Real-time computing,Calibration,Amplifier
Journal
Volume
Issue
ISSN
59
10
1383-7621
Citations 
PageRank 
References 
1
0.39
15
Authors
6
Name
Order
Citations
PageRank
T. Toczek110.39
F. Hamdi210.39
B. Heyrman3495.88
J. Dubois410.39
J. Miteran5122.26
D. Ginhac6373.46