DocumentCode :
2998514
Title :
Real-Time Photo Sensor Dead Pixel Detection for Embedded Devices
Author :
Chao-Yi Cho ; Tse-Min Chen ; Wen-Shan Wang ; Chun-Nan Liu
Author_Institution :
Inf. & Commun. Res. Labs., Ind. Technol. Res. Inst., Hsinchu, Taiwan
fYear :
2011
fDate :
6-8 Dec. 2011
Firstpage :
164
Lastpage :
169
Abstract :
The number of defect pixels in solid state image sensor grows as the digital imagers continue increasing in image size and pixel density. However, limited number of defect pixels is usually allowed after detection and correction techniques are applied. The defect pixel detection and defect pixel correction are operated separately but the former must employ before the latter is in use. Without an excellent detection scheme, the correction algorithm cannot offer impressed result. Therefore, the defect pixel detection becomes very critical to deliver a high quality image. Traditional detection scheme, which finds the defect pixels during manufacturing, is not able to discover the spread defect pixels years late. Consequently, the lifetime and robust defect pixel detection technique, which identifies the fault pixels when camera is in use, is more practical and developed. The paper presents a fast dead pixel detection technique without complicated mathematic computations so that the embedded devices can easily implement it. Twenty-four images with six dead pixel types are tested and the experimental result indicates that it can perform 99.65% of detection.
Keywords :
embedded systems; image sensors; object detection; photodetectors; complicated mathematic computations; defect pixel correction; digital imagers; embedded devices; image size; pixel density; real-time photosensor dead pixel detection; robust defect pixel detection technique; solid state image sensor; Arrays; Digital images; Image color analysis; Image quality; Interpolation; Proposals; Real time systems; dead pixel detection; false negative; false positive; stuck high; stuck low;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Image Computing Techniques and Applications (DICTA), 2011 International Conference on
Conference_Location :
Noosa, QLD
Print_ISBN :
978-1-4577-2006-2
Type :
conf
DOI :
10.1109/DICTA.2011.34
Filename :
6128676
Link To Document :
بازگشت