Volume 9 Number 1 (Jan. 2014)
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JSW 2014 Vol.9(1): 37-43 ISSN: 1796-217X
doi: 10.4304/jsw.9.1.37-43

Quality Assessment for Stereoscopic Images by Distortion Separation

Chaozheng Hu, Feng Shao, Gangyi Jiang, Mei Yu, Fucui Li, Zongju Peng
Faculty of Information Science and Engineering, Ningbo University, 315211, Ningbo, China

Abstract—Quality assessment for stereoscopic images is a challenging issue in three-dimensional research. In this paper, we present an objective quality assessment method for stereoscopic images by distortion separation. In the method, we separate the distortion information for the distorted stereoscopic image (i.e., decompose the distorted stereoscopic image into restored and disturbed stereoscopic images), and use phase-amplitude description model and singular value decomposition model to evaluate them respectively. The experimental results show that compared with other schemes, the proposed method can achieve much higher consistency with the subjective assessments.

Index Terms—stereoscopic image quality assessment, distortion separation, phase-amplitude description, singular value decomposition


Cite: Chaozheng Hu, Feng Shao, Gangyi Jiang, Mei Yu, Fucui Li, Zongju Peng, "Quality Assessment for Stereoscopic Images by Distortion Separation," Journal of Software vol. 9, no. 1, pp. 37-43, 2014.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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