DocumentCode :
1808098
Title :
Adaptive noise reduction and image sharpening for digital video compression
Author :
Huang, Si Jun
Author_Institution :
Scientific-Atlanta Inc., Norcross, GA, USA
Volume :
4
fYear :
1997
fDate :
12-15 Oct 1997
Firstpage :
3142
Abstract :
This paper presents a framework of digital video preprocessing for digital video compression. The purpose of this preprocessing is to reduce the noise and thus improve the video compression efficiency. A four stage processing system has been proposed. The first process is a median filter to remove the 2D impulse noise. The second process is a 2D spatial filter that is controllable by the video encoder parameters. The third process is an image sharpening operation to enhance the image resolution or details so that the decoded video from the encoded bitstream still gives high resolution content. The last process is a recursive temporal filter that is used to reduce the temporal noise. The recursive filter is designed to adapt to the video content so that high quality temporal filtering is achieved
Keywords :
adaptive filters; data compression; filtering theory; image enhancement; image resolution; median filters; recursive filters; spatial filters; video coding; 2D impulse noise; 2D spatial filter; adaptive noise reduction; digital video compression; image resolution; image sharpening; median filter; recursive filter; recursive temporal filter; video encoder; Adaptive filters; Filtering; Image coding; Image resolution; Noise figure; Noise reduction; Satellite broadcasting; Spatial filters; Transform coding; Video compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location :
Orlando, FL
ISSN :
1062-922X
Print_ISBN :
0-7803-4053-1
Type :
conf
DOI :
10.1109/ICSMC.1997.633077
Filename :
633077
Link To Document :
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