Digital Images Clarity Quality Evaluation using Non-subsampled Contourlet Transform

被引：0

作者：

Li, Yi ^{[1
]}

Liu, Guanzhong ^{[2
]}

机构：

[1] Cent S Univ, Sch Business, Changsha, Hunan, Peoples R China

[2] Tsinghua Univ, Acad Arts & Design, Beijing, Peoples R China

来源：

SECOND INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN, VOL 1, PROCEEDINGS | 2009年

关键词：

image clarity; quality evaluation; non-subsampled contourlet transform;

D O I：

10.1109/ISCID.2009.87

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Nowadays, more and more digital images are used in industrial design field. The tools for digital images quality evaluation are needed to select good images. In this paper, we propose one clarity quality metric using the non-subsampled contourlet transform. The proposed metric is based on the high frequency and low frequency coefficients with the non-subsampled contourlet transform. Experimental results on many industrial design images show that the proposed metric can evaluate the clarity quality effectively.

引用

页码：318 / 321

页数：4

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