| 基于结构方向信息的图像质量评价方法 |
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| 引用本文： | 王强,梁德群,毕胜,薄瑜.基于结构方向信息的图像质量评价方法[J].计算机应用,2010,30(6):1622-1625. |
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| 作者姓名： | 王强 梁德群 毕胜 薄瑜 |
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| 作者单位： | 1. 大连海事大学信息科学技术学院2. |
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| 摘 要： | 结构相似度(SSIM)方法通过度量原图像和失真图像之间的结构相似程度,达到了比传统PSNR方法更好的图像质量评价效果。但SSIM算法本身并没有充分利用图像的结构信息,在SSIM算法的基础上进一步挖掘图像结构中包含的方向信息,提出了局部结构方向相似度(LSOS),将LSOS方法和现有的SIExt算法相结合,提出基于结构方向信息的图像质量评价算法(SOI)。实验表明,该方法能够达到比SIExt和SSIM方法更好的图像质量评价结果。
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| 关 键 词： | 图像质量评价 结构信息 结构相似度 结构方向相似度 人眼视觉系统 |
| 收稿时间： | 2009-11-30 |
| 修稿时间： | 2010-01-26 |
Image quality assessment based on structural orientation information |
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| WANG Qiang,LIANG De-qun,BI Sheng,BO Yu.Image quality assessment based on structural orientation information[J].journal of Computer Applications,2010,30(6):1622-1625. |
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| Authors: | WANG Qiang LIANG De-qun BI Sheng BO Yu |
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| Affiliation: | 1.School of Information Science and Technology/a>;Dalian Maritime University/a>;Dalian Liaoning 116026/a>;China/a>;2.E&A College/a>;Hebei Normal University of Science and Technology/a>;Qinhuangdao Hebei 066004/a>;China |
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| Abstract: | Compared with the traditional Peak Signal-to-Noise Ratio (PSNR) method,the Structural Similarity (SSIM) method can achieve better image assessment by measuring the SSIM between the reference image and the distortion image,but the structural information is not completely extracted.Based on SSIM method,the orientation information was further extracted and the Local Structural Orientation Similarity (LSOS) was proposed.Then,the LSOS method was incorporated with the existing SIExt algorithm and an image quality... |
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| Keywords: | image quality assessment structural information structural similarity structural orientation similarity human visual system |
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