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