Image quality assessment based on complementary of perceptive feature

• Main Author: Wang Saijiao
• Format: Article
• Language: zho
• Published: National Computer System Engineering Research Institute of China 2019-06-01
• Series: Dianzi Jishu Yingyong
• Subjects: image quality assessment; human vision system; visual structure saliency; visual energy saliency
• Online Access: http://www.chinaaet.com/article/3000103392

Aiming at the performance degradation of objective methods for image quality assessment in practical application scenarios, a visual saliency and complementary features method based on pooling of structure and energy by integrating human visual characteristics into many parts of image feature processing is proposed. Firstly, the three complementary features of image gray energy, contrast energy and gradient structure are processed based on spatial-frequency joint transformation, according to the human eye characteristics. Secondly, multichannel information of the above three layers of visual feature is extracted and assessed, respectively. Finally, the visual feature assessment of each layer is adaptively pooled from the inner layer to the outer layer based on visual characteristics and image distortion. The experiments show that the proposed method holds higher level, better stability, and assessment performance is improved in practical application scenarios.