Paper Info
Title
Adaptive guided image filtering for screen content coding
Abstract
The capabilities of off-the-shelf consumer electronics are continuously increasing, making them interesting candidates to integrate into industrial visualization systems for reducing the cost of these systems or speed up development. However, in the context of video compression, hardware acceleration on consumer electronics is typically only provided for more common, consumer oriented YUV 4:2:0 profiles. Meanwhile, industrial applications often require YUV 4:4:4 formats due to synthetic visual data. Upscaling YUV 4:2:0 to YUV 4:4:4 using conventional filters results in visual artifacts, specifically for synthetic content. To improve the quality of the chroma components, this paper proposes to extend the well-known guided image filter through content-adaptive selection of the filter radius, and analyze different strategies for limiting complexity. This results in a 3.5 dB improvement of the chroma PSNR compared to conventional filters.
Year
DOI
Venue
2014
10.1109/ICIP.2014.7026125
Image Processing
Keywords
Field
DocType
consumer electronics,data compression,image filtering,video coding,YUV 4:4:4 format,adaptive guided image filtering,chroma PSNR,chroma component,consumer electronics,consumer oriented YUV 4:2:0 profile,content-adaptive selection,hardware acceleration,industrial visualization systems,screen content coding,video compression context,Chroma Upscaling,Guided Image Filtering,HEVC
Computer vision,Visual artifact,Computer science,Visualization,Filter (signal processing),Composite image filter,Coding (social sciences),Artificial intelligence,Hardware acceleration,Data compression,Speedup
Conference
ISSN
Citations 
PageRank 
1522-4880
1
0.36
References 
Authors
0
8
Name
Order
Citations
PageRank
Thijs Vermeir111.04
Jürgen Slowack213512.74
Sebastiaan Van Leuven310313.08
Glenn Van Wallendael413723.28
Jan De Cock538849.57
Rik Van de Walle62040238.28
S. Van Leuven7545.87
Van Wallendael, G.8549.59