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Proceedings Paper

Human vision-based algorithm to hide defective pixels in LCDs
Author(s): Tom Kimpe; Stefaan Coulier; Gert Van Hoey
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Paper Abstract

Producing displays without pixel defects or repairing defective pixels is technically not possible at this moment. This paper presents a new approach to solve this problem: defects are made invisible for the user by using image processing algorithms based on characteristics of the human eye. The performance of this new algorithm has been evaluated using two different methods. First of all the theoretical response of the human eye was analyzed on a series of images and this before and after applying the defective pixel compensation algorithm. These results show that indeed it is possible to mask a defective pixel. A second method was to perform a psycho-visual test where users were asked whether or not a defective pixel could be perceived. The results of these user tests also confirm the value of the new algorithm. Our "defective pixel correction" algorithm can be implemented very efficiently and cost-effectively as pixel-dataprocessing algorithms inside the display in for instance an FPGA, a DSP or a microprocessor. The described techniques are also valid for both monochrome and color displays ranging from high-quality medical displays to consumer LCDTV applications.

Paper Details

Date Published: 9 February 2006
PDF: 9 pages
Proc. SPIE 6057, Human Vision and Electronic Imaging XI, 60570N (9 February 2006); doi: 10.1117/12.649240
Show Author Affiliations
Tom Kimpe, BARCO-Medical Imaging Systems (Belgium)
Stefaan Coulier, BARCO-Medical Imaging Systems (Belgium)
Gert Van Hoey, BARCO-Medical Imaging Systems (Belgium)


Published in SPIE Proceedings Vol. 6057:
Human Vision and Electronic Imaging XI
Bernice E. Rogowitz; Thrasyvoulos N. Pappas; Scott J. Daly, Editor(s)

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