Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/14542
Title: Fast video interpolation/upsampling using linear motion model
Authors: Hung, KW
Siu, WC 
Keywords: Image processing
Interpolation
Upsampling
Issue Date: 2011
Source: Proceedings - International Conference on Image Processing, ICIP, 2011, 6115685, p. 1341-1344 How to cite?
Abstract: Recently, the probabilistic motion field was proposed for super-resolution reconstruction (SRR). In the interpolation step of SRR, a missing pixel can be estimated by the weighted average of neighboring pixels, which are weighted by the errors with the missing pixel. However, the errors are far from true values due to the approximated missing pixel in calculating the errors. Hence, in this paper, we propose a linear motion model to better approximate the errors, which results in a better interpolation quality. Experimental results show that a gain of 0.6 dB in PSNR is achievable using this linear motion model, and only a small number of neighboring pixels have to be used for fast interpolation/ upsampling.
Description: 2011 18th IEEE International Conference on Image Processing, ICIP 2011, Brussels, 11-14 September 2011
URI: http://hdl.handle.net/10397/14542
ISBN: 9781457713033
ISSN: 1522-4880
DOI: 10.1109/ICIP.2011.6115685
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

2
Last Week
0
Last month
0
Citations as of Apr 20, 2017

WEB OF SCIENCETM
Citations

1
Last Week
0
Last month
0
Citations as of Apr 19, 2017

Page view(s)

23
Last Week
0
Last month
Checked on Apr 23, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.