Objective and subjective image quality evaluation for security technology

被引：0

作者：

Klima, M ^{[1
]}

Pazderak, J ^{[1
]}

Bernas, M ^{[1
]}

Pata, P ^{[1
]}

Hozman, D ^{[1
]}

Roubik, K ^{[1
]}

机构：

[1] Czech Tech Univ, Dept Radioelectr, Fac Elect Engn, Prague 16627, Czech Republic

来源：

35TH ANNUAL 2001 INTERNATIONAL CARNAHAN CONFERENCE ON SECURITY TECHNOLOGY, PROCEEDINGS | 2001年

关键词：

D O I：

10.1109/.2001.962821

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

The paper is devoted to the impacts of image compression algoritms on security image data. It compares three fundamentally different evaluation techniques of image objective criteria, subjective criteria and identification. We have selected two typical security image data (a car plate and a face) with different initial quality and we applied three different compression techniques - two professional (JPEG and LuRaWave - LWF) and one implemented (Karhunen-Loeve transform KLT) [1]. A set of compressed images differing in compression rate was derived from each original image data. Finally the MSE as an objective criterion, the subjective image quality according to the ITU-R Rec. 500 and the identification measure were evaluated and compared.

引用

页码：108 / 114

页数：7