Human vision-based algorithm to hide defective pixels in LCDs

Tom Kimpe; Stefaan Coulier; Gert Van Hoey

doi:10.1117/12.649240

9 February 2006 Human vision-based algorithm to hide defective pixels in LCDs

Tom Kimpe, Stefaan Coulier, Gert Van Hoey

Proceedings Volume 6057, Human Vision and Electronic Imaging XI; 60570N (2006) https://doi.org/10.1117/12.649240
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

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.

Citation Download Citation

Tom Kimpe, Stefaan Coulier, and Gert Van Hoey "Human vision-based algorithm to hide defective pixels in LCDs", Proc. SPIE 6057, Human Vision and Electronic Imaging XI, 60570N (9 February 2006); https://doi.org/10.1117/12.649240

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available