Paper
24 January 2011 Image enhancement technique using color and edge features for mobile systems
Won-Ho Cho, Tae-Chan Kim
Author Affiliations +
Proceedings Volume 7876, Digital Photography VII; 78760U (2011) https://doi.org/10.1117/12.871973
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States
Abstract
The paper provides a method of selectively controlling the strength of image noise reduction (NR) and sharpening in regions associated with specific colors that are visually impact on the human visual system. Since NR and sharpening operation can cause undesirable edge blurring or noise boosting in flat regions, the strength is adjusted according to the edge information. The proposed algorithm takes the following three stages: (i) color-based region classification, (ii) adaptive texture-based NR and sharpening, and (iii) H/W optimization for mobile image sensor compatibility. Experiments indicate that the proposed integrated algorithm platform provides significantly better results in terms of subjective visual quality.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Won-Ho Cho and Tae-Chan Kim "Image enhancement technique using color and edge features for mobile systems", Proc. SPIE 7876, Digital Photography VII, 78760U (24 January 2011); https://doi.org/10.1117/12.871973
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Cited by 1 scholarly publication.
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KEYWORDS
Skin

Xenon

Optical filters

Detection and tracking algorithms

Image enhancement

Control systems

RGB color model

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