
Proceedings Paper
Image enhancement for low resolution display panelsFormat | Member Price | Non-Member Price |
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Paper Abstract
This paper presents a real time automatic image correction technique operating under real-time
constraints (25ms) to address red dot artifacts in low resolution display panels. The algorithm is
designed as a two stage process, starting with the identification of pixels which could cause such
artifacts followed by a color correction scheme to compensate for any perceived visual errors.
Artifact inducing pixels are identified by thresholding the vector color gradient of the image.
The color levels of the adjacent subpixels around the artifacts are estimated based on partitive
spatial color mixing. Red dot artifacts occur as singlet, couplets or triplets and consequently three
different correction schemes are explored. The algorithm also ensures that artifacts occurring
at junctions, corners and cross sections are corrected without affecting the underlying shape or
contextual sharpness. The performance of our algorithm was benchmarked using a series of 30
corrected and uncorrected images by human observers. This algorithm is designed as a general
purpose color correction technique for display panels with an offset in their subpixel patterns
and can be easily implemented as an isolated real time post processing technique for the output
display buffer without any higher order processing or image content information. All the above
mentioned benefits are realized through software and don’t require any upgrade or replacement
of existing hardware.
Paper Details
Date Published: 8 February 2015
PDF: 9 pages
Proc. SPIE 9395, Color Imaging XX: Displaying, Processing, Hardcopy, and Applications, 939509 (8 February 2015); doi: 10.1117/12.2078350
Published in SPIE Proceedings Vol. 9395:
Color Imaging XX: Displaying, Processing, Hardcopy, and Applications
Reiner Eschbach; Gabriel G. Marcu; Alessandro Rizzi, Editor(s)
PDF: 9 pages
Proc. SPIE 9395, Color Imaging XX: Displaying, Processing, Hardcopy, and Applications, 939509 (8 February 2015); doi: 10.1117/12.2078350
Show Author Affiliations
Rakshit S. Kothari, Rochester Institute of Technology (United States)
Eli Saber, Rochester Institute of Technology (United States)
Marvin Nelson, Hewlett-Packard Co. (United States)
Eli Saber, Rochester Institute of Technology (United States)
Marvin Nelson, Hewlett-Packard Co. (United States)
Michael Stauffer, Hewlett-Packard Co. (United States)
Dave Bohan, Hewlett-Packard Co. (United States)
Kuldeep Shah, Rochester Institute of Technology (United States)
Dave Bohan, Hewlett-Packard Co. (United States)
Kuldeep Shah, Rochester Institute of Technology (United States)
Published in SPIE Proceedings Vol. 9395:
Color Imaging XX: Displaying, Processing, Hardcopy, and Applications
Reiner Eschbach; Gabriel G. Marcu; Alessandro Rizzi, Editor(s)
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