Please use this identifier to cite or link to this item:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/44599
Title: | 視訊影像雜訊分析與量測方法 Video Image Noise Analysis and Measurement Methods |
Authors: | Yi-Hung Chou 周奕宏 |
Advisor: | 傅楸善(Chiou-Shann Fuh) |
Keyword: | 雜訊,視訊雜訊,視訊雜訊量測,影像,噪訊比,時間噪訊比, noise,video noise,video noise measurement,SNR,Temporal SNR, |
Publication Year : | 2010 |
Degree: | 碩士 |
Abstract: | 在一般視訊的雜訊量測,是採用擷取一張影像來代表這段影像。可是這並不是個十分合理的現象,因為每一秒就包含了30張的影像。而量測一連串的影像雜訊,更是必需要考慮同一像素的時間關聯性。基於一般影像的雜訊量測使用噪訊比,我們提出的方法是一個有考慮到時間的噪訊比量測方法。
在很多雜訊處理的演算法都有很多取捨,我們更需要一個好的測量的基準。因此這篇論文提出了一些雜訊的量測方法並提供了一種新的測量方式。 When we need to analyze video images, we sometimes capture one still image. But the video is 30 FPS (Frame per Second). But using only one static image to represent this video is unreasonable. Moreover, we must consider the impact of temporal noise. Our method is based on SNR (Signal-to-Noise Ratio) with time relevance of each pixel. Many noise reduction algorithms have many trade-offs. We need a good measurement method. Therefore this thesis proposes some noise measurement methods and provides one new measurement mode. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/44599 |
Fulltext Rights: | 有償授權 |
Appears in Collections: | 資訊網路與多媒體研究所 |
Files in This Item:
File | Size | Format | |
---|---|---|---|
ntu-99-1.pdf Restricted Access | 2.68 MB | Adobe PDF |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.