An image quality assessment metric based contourlet

Author

Lu, Wen ; Gao, Xinbo ; Li, Xuelong ; Tao, Dacheng

Author_Institution

Sch. of Electron. Eng., Xidian Univ., Xian

fYear

2008

fDate

12-15 Oct. 2008

Firstpage

1172

Lastpage

1175

Abstract

In reduced-reference (RR) image quality assessment (IQA), the visual quality of distorted images is evaluated with only partial information extracted from original images. In this paper, by considering the information of textures and directions during image distortion, we propose a new reduced- reference IQA metric to calculate the diversifications based on contourlet transform Experimental results illustrate that even with low data rate, the presented metric has still good consistency with the subjective perception.

Keywords

image texture; transforms; contourlet transform; distorted images; image distortion; image quality assessment metric based contourlet; image textures; reduced-reference IQA metric; reduced-reference image quality assessment; visual quality; Computer science; Data mining; Feature extraction; Filter bank; Image quality; Image resolution; Information systems; PSNR; Statistical distributions; Wavelet coefficients; Reduced reference; contourlet transform; image quality assessment;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on

Conference_Location

San Diego, CA

ISSN

1522-4880

Print_ISBN

978-1-4244-1765-0

Electronic_ISBN

1522-4880

Type

conf

DOI

10.1109/ICIP.2008.4711969

Filename

4711969