Phase congruency based on derivatives of circular symmetric Gaussian function: an efficient feature map for image quality assessment

EURASIP Journal on Image and Video Processing

Research

Xuanqin Mou¹  Congmin Chen¹ 

[1] Institute of Image Processing and Pattern Recognition, Xi’an Jiaotong University, 710049, Xi’an, China;

关键词: Phase congruency;    Image quality assessment;    Circular symmetric;    Gradient magnitude;    Laplacian of Gaussian;   

DOI  :  10.1186/s13640-023-00611-2

 received in 2022-05-10, accepted in 2023-06-16,  发布年份 2023

来源: Springer

【 摘 要 】

Image quality assessment (IQA) has become a hot issue in the area of image processing, which aims to evaluate image quality automatically by a metric being consistent with subjective evaluation. The first stage of conventional IQA model design is the quality-aware feature selection. Taking advantages of early visual feature, Phase congruency (PC) operates in frequency domain to measure local structures such as edges, corners, lines, etc., by computing the local amplitudes and local energies in multiple scales. Conventional local PC features are calculated with log-Gabor-based filtrations in several orientations, and usually combined with other features for IQA model design. Generally, a directional filter is sensitive to the changes on specific direction, and insensitive to other directions. This leads to multi-directional calculation and much time consumption in practical applications. Recently, researchers suggested that spatially circular symmetric filters, such as gradient magnitude (GM) and Laplacian of Gaussian (LoG), are highly efficient quality features and hence have been widely used in various IQA model designs. With the odd-symmetric and even-symmetric properties of GM and LoG operators, the two features are a suitable pair for PC compositions and can be computed uniformly by a Gaussian function with one scale factor. In this regard, we propose to combine GM and LoG signals to construct a new PC model with non-directional property. With ability to catch different types of distortions, the proposed PC feature can be promoted to a full-reference IQA model simply with average pooling or standard deviation pooling, and shows state-of-the-art performance compared with existing methods. Furthermore, our proposed PC algorithm can take the place of conventional PC component in well-known FSIM metric, which achieves improved performance and spends less in computation cost. This study suggests that the proposed circular symmetric PC feature is a highly efficient quality feature and can be exclusively used in IQA model designs.

【 授权许可】

CC BY   
© The Author(s) 2023

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