The invention discloses a panoramic image blind quality evaluation method. Firstly, characteristics of an image are understood through structural characteristics according to a human eye vision system, structural features are extracted on an ERP projection plane by using a local binary pattern operator of a gradient domain, then a mapping relationship between a spherical surface and the projectionplane is calculated to obtain a weight relationship, and the weight relationship and the structural features are further combined to obtain weighted mapped structural features; and finally, a panoramic image parameter-free evaluation model is established by using support vector regression, and the extracted structural features are mapped to the quality score of the distorted image from the feature space. An experiment is carried out on a disclosed panoramic image subjective quality evaluation database, and it is proved that the consistency with subjective perception is high.
Panoramic image blind quality evaluation method