Title :
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
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;
Conference_Titel :
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-1765-0
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2008.4711969
