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视觉关注度的立体图像质量评价 被引量:3

Stereo image quality assessment based on visual attention
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摘要 立体图像质量评价对立体视频技术的发展起着非常重要的作用。常用的PSNR(峰值信噪比)方法不能反映人类视觉感知特性,也不能直接应用到立体图像质量评价中。针对人类视觉对立体图像深度感知和重点关注感兴趣区的特点,提出基于纹理图和深度图感兴趣区的质量评价方法。首先对纹理图和对应的深度图利用视觉关注度提取工具提取感兴趣区,然后在评价的过程中对各感兴趣区根据感兴趣程度分配基于像素的权重系数,最后将权重系数应用在立体图像的各个区域中进行评价。实验结果表明该方法得到的立体图像质量客观评价结果与主观评价结果之间具有更好的一致性,符合人眼视觉系统感知特性。 Stereo image quality assessment is important to the stereo video technologies. Traditional PSNR does not reflect the characteristics of human visual perception and can not be directly apply to the stereo image quality assessment. According to the human visual system of depth perception and focusing on regions of interest (ROI) to stereo image, a new assessing method based on the ROI of texture and depth map is proposed. First, extracting the ROI of texture image ahd the corresponding depth map. Then, allocating the weighting factors according to the degree of interesting. Finally, assessing the stereo image by applying the weighting factors to the various regions. Experimental results show that this method is consistent with the subjective judgments and can effectively reflect human visual perception characteristics.
出处 《中国图象图形学报》 CSCD 北大核心 2012年第6期722-725,共4页 Journal of Image and Graphics
基金 国家自然科学基金重点项目(60832003) 上海市科委重点项目基金(10510500500) 国家自然科学基金面上项目(61172096) 上海市青年启明星计划(11QA1402400) 安徽高等学校省级自然科学研究项目(KJ2011Z008)
关键词 视觉关注度 立体图像质量评价 深度感知 感兴趣区 visual attention stereo image quality assessment depth perception region of interest (ROI)
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二级参考文献3

共引文献44

同被引文献30

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