Semi-reference image quality metric for virtual view images in free-viewpoint television  

作　　者：杨铀 Jiang Gangyi Yu Mei Shao Feng Zhang Yun 

机构地区：[1]Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190 [2]Faulty of Information Science and Engineering, Ningbo University, Ningbo 315211 [3]Department of Automation, Tsinghua University, Beijing 100084

出　　处：《High Technology Letters》2009年第4期394-400,共7页高技术通讯（英文版）

基　　金：Supported by the National Natural Science Foundation of China (No. 60672073,60872094);the Program for New Century Excellent Talents in University (NCET-06-0537);the Natural Science Foundation of Ningbo (No. 2007A610037).

摘　　要：A semi-reference image quality assessment metric based on similarity measurement for synthesized virtual viewpoint image （VVI） in free-viewpoint television system （FFV） is proposed in this paper. The key point of the proposed metric is taking resemblant information between VVI and its neighbor view images for quality assessment to make our metric to be extended to multi-semi-reference image quality assessment easily. The proposed metric first extracts impact factors from image features, then combines an image synthesis technique and similarity functions, in which, disparity information are taken into account for registering the resemblant regions. Experiments are divided into three phases. Phase I is to verify the validation of the proposed metric by taking impaired images and original reference into account. The experimental results show the agreement between evaluation scores and bio-characteristic of human visual system. Phase II shows the accordance with Phase I by taking neighbor view as reference. The proposed metric can be taken as a full reference one to evaluate the image quality even though the original reference is absent. Phase III is then performed to evaluate the quality of WI. Evaluation scores in the experimental results are able to evaluate the quality of VVI.A semi-reference image quality assessment metric based on similarity measurement for synthesizedvirtual viewpoint image (WI) in free-viewpoint television system (FTV) is proposed in this paper. Thekey point of the proposed metric is taking resemblant information between WI and its neighbor view imagesfor quality assessment to make our metric to be extended to multi-semi-reference image quality assessmenteasily. The proposed metric first extracts impact factors from image features, then combines animage synthesis technique and similarity functions, in which, disparity information are taken into accountfor registering the resemblant regions. Experiments are divided into three phases. Phase Ⅰ is to verify thevalidation of the proposed metric by taking impaired images and original reference into account. The experimentalresults show the agreement between evaluation scores and bio-characteristic of human visualsystem. Phase Ⅱ shows the accordance with Phase Ⅰ by taking neighbor view as reference. The proposedmetric can be taken as a full reference one to evaluate the image quality even though the original referenceis absent. Phase Ⅲ is then performed to evaluate the quality of ⅤⅥ. Evaluation scores in the experimentalresults are able to evaluate the quality of ⅤⅥ.

关 键 词：image quality assessment virtual view image （VVI） free-viewpoint television （FTV） semi-relerence image quality metric 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]