Comparison of Image Quality Objective Evaluation

Author

Shen Hong-ying ; Sun Shui-fa ; Wang Jing-pei ; Dong Fangmin ; Lei Bangjun

Author_Institution

Coll. of Electr. Eng. & Inf. Technol., China Three Gorges Univ., Yichang, China

fYear

2009

fDate

11-13 Dec. 2009

Firstpage

1

Lastpage

4

Abstract

Several image quality evaluation methods is analyzed, such as the conventional mathematical statistics methods, mean square error (MSE), peak signal to noise ratio (PSNR), as well as methods based on the HVS, structural similarity (SSIM), objective picture quality scale (PQS), wavelet and weighted mean square error (WWMSE), wavelet and energy -weighted mean square error (WEWMSE). The above objective evaluations of image quality are compared with an image library labeled. Simulation results are presented. It is useful for selection of image quality methods in the practical application, design of more rational methods in the theory research.

Keywords

image processing; mean square error methods; statistical analysis; wavelet transforms; HVS; energy-weighted mean square error; image quality objective evaluation; mathematical statistics method; objective picture quality scale; peak signal to noise ratio; structural similarity; wavelet transform; Educational institutions; Humans; Image quality; Information technology; Intelligent structures; Mean square error methods; PSNR; Visual system; Wavelet analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4507-3

Electronic_ISBN

978-1-4244-4507-3

Type

conf

DOI

10.1109/CISE.2009.5366163

Filename

5366163