计算机工程与应用Issue(2)：16-20,25,6.DOI:10.3778/j.issn.1002-8331.1304-0310
利用相位一致性的图像质量评价方法
Image quality assessment based on phase congruency
摘要
Abstract
In practical image processing, some post-processing operations largely depend on the availability of image fea-tures. Operations, like classification, segmentation, and image quality assessment, are often carried out in a feature space. The availability of image features plays an important role for further analysis. Rather than defining features directly at points with sharp change in intensity, the Phase Congruency(PC), which is a dimensionless measure of the significant of a local structure, postulates that features are perceived at points where the Fourier components are maximal in phase. The PC model is in accordance with the human visual system that demonstrates good invariance to light conditions and can achieve effective feature information and well feature location accuracy. Based on those properties, it proposes a new image quality metric based on the PC model, which utilizes the local similarities of phase congruency between the reference and distorted image to quantify the image distortion. Moreover, considering that human visual system is sensitive to phase con-gruent structures and that the PC value at a location can reflect how likely it is a perceptibly significant structure point, PC values at a location are employed to combine the similarities within local regions into a single quality score. The experi-mental result shows that the proposed algorithm is correlated well with the judgment of human observers. More importantly, the metric is invariant to changes in image brightness or contrast.关键词
特征提取/相位一致性/边缘检测/图像质量评价Key words
feature extraction/phase congruency/edge detection/image quality assessment分类
信息技术与安全科学引用本文复制引用
杨迪威,余绍权..利用相位一致性的图像质量评价方法[J].计算机工程与应用,2015,(2):16-20,25,6.基金项目
国家自然科学基金（No.11026145，No.61071188）；湖北省自然科学基金（No.2010CDB04205）；中央高校基本科研业务费专项资金（No.CUGL120229）。 （）
