Reduced reference stereoscopic image quality assessment using digital watermarking |
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| Affiliation: | 1. Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China;2. School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China;3. National Key Lab of Software New Technology, Nanjing University, Nanjing 210093, China;1. College of Computer Science and Technology, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China;2. State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China;3. School of Physics and Engineering, Qufu Normal University, Qufu, Shandong 273165, China;1. Department of Electrical Engineering, COMSATS Institute of Information Technology, Park Road, Chak Shahzad, 44000 Islamabad, Pakistan;2. Center for Advanced Studies in Telecommunications, COMSATS Institute of Information Technology, Park Road, Chak Shahzad, 44000 Islamabad, Pakistan;3. Department of Physics, COMSATS Institute of Information Technology, Park Road, Chak Shahzad, 44000 Islamabad, Pakistan;1. School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China;2. School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan 430081, China;1. Department of Electrical and Electronics Engineering, Bilecik Seyh Edebali University, Bilecik 11210, Turkey;2. Department of Electrical and Electronics Engineering, Anadolu University, Eskisehir 26555, Turkey |
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| Abstract: | In this paper, a novel reduced-reference stereoscopic image quality assessment (RR-SIQA) algorithm is proposed by means of an unconventional use of watermarking technique. Watermarking techniques are usually employed for authenticity verification and copyright protection. Here, watermarking technique is adopted to provide a new approach for RR-SIQA. Firstly, the features of image are extracted in reorganized discrete cosine transform domain, and then embedded into the stereoscopic image as invisible hidden information. In order to improve the reliability of the watermarking, some channel coding techniques are applied before the process of embedding watermark. At the receiver, the watermark can be decoded and used to measure the quality of the distorted stereoscopic image. The proposed algorithm overcomes the limitations of other existing methods that require an auxiliary channel. Experimental results illustrate that the proposed algorithm has a good consistency with subjective quality scores, and can reflect the visual perception of stereoscopic image effectively. |
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