DocumentCode
3054537
Title
Improvement of video signal-to-noise ratio with adaptive recursive filtering
Author
Gangal, Ali ; Kayikcioglu, Temel ; Atasoy, Ayten ; Ozer, Mahmut
Author_Institution
Dept. of Electr. & Electron. Eng., Karadeniz Tech. Univ., Trabzon, Turkey
Volume
3
fYear
1996
fDate
13-16 May 1996
Firstpage
1686
Abstract
In order to reduce the noise in video signals, an adaptive recursive filtering technique is proposed. While filtering out the noise, a motion estimation process is used in order to preserve motion details. The shape of the filter transfer function is changed according to type of estimated motion. Therefore, the amount of noise reduction becomes motion dependent. To the test performance of the method, several subjective tests have been done. The results indicate that the noise visibility on the screen is prominently reduced while moving details are preserved
Keywords
adaptive filters; adaptive signal processing; filtering theory; motion estimation; noise; recursive filters; transfer functions; video signal processing; adaptive recursive filtering; filter transfer function; motion details; motion estimation; noise reduction; noise visibility; performance; subjective tests; video signal-to-noise ratio; Adaptive filters; Colored noise; Degradation; Digital filters; Filtering; Motion estimation; Noise reduction; Noise shaping; Signal to noise ratio; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrotechnical Conference, 1996. MELECON '96., 8th Mediterranean
Conference_Location
Bari
Print_ISBN
0-7803-3109-5
Type
conf
DOI
10.1109/MELCON.1996.551279
Filename
551279
Link To Document