Home // International Journal On Advances in Telecommunications, volume 12, numbers 3 and 4, 2019 // View article

Noise Level Detection Method for General Video

Authors:
Chinatsu Mori
Seiichi Gohshi

Keywords: Video noise reducer; 4KTV; 8KTV; Real-time; Nonlinear signal processing; Image quality.

Abstract:
Continuous efforts on TV technology have been carried out over the years with respect to resolution enhancement. Currently, 4K TV is a standard TV and 8K broadcasting is planned to begin in December 2018. High resolution in conjunction with low noise is an essential figure of merit in video systems. Unfortunately, any increase in resolution unavoidably increases noise levels. A signal processing method called “noise reduction” or “noise reducer (NR)” is often used to reduce noise. However, accurate noise level is needed when NR method is employed. Noise level depends mostly on lighting conditions and is estimated by comparing adjacent frame difference. However, the frame difference is generated by moving objects as well as noise. Therefore, it is essential to determine whether the frame difference is caused by the moving objects or by the noise, which is a difficult task. Another difficulty arises from the fact that noise level detection must be achievable in real-time conditions since all video systems are required to work in real-time. This means that a complex method could not be used for noise level detection. In this paper, two noise level detection algorithms are presented. The combination of two of them is a concise algorithm able to accurately detect the noise level and work in real-time conditions.

Pages: 51 to 60

Copyright: Copyright (c) to authors, 2019. Used with permission.

Publication date: December 30, 2019

Published in: journal

ISSN: 1942-2601