Multi Feature Fusion Image Quality Evaluation Algorithm Based on AHP
In response to the problem of low universality of image quality evaluation algorithms,a Multi Feature Image Quality Assessment(MFIQA)algorithm is proposed by extracting multiple underlying features of reference and distorted images,calculating the similarity between each feature in the original and distorted images,and combining the Analytic Hierarchy Process(AHP)model.For the reference image and the distorted image,the image features are extracted and the similarity of color,body shape,local features and texture details is calculated.According to the dif-ferent image types and application scenarios,the corresponding weight distribution model is established through AHP,and the similarity value is normalized into the model,and finally the quantized quality score is obtained.On the TID2008 dataset,the performance of the algorithm on KROCC has been improved by 7.3%compared with PSNR and 3.5%compared with SSIM;On the TID2013 dataset,the performance of the algorithm on RMSE has been improved by 17.9%compared with SSIM and 5.4%compared with PSNR.The experiments on TID2008 and TID2013 data sets show that the subjective and objective consistency of the algorithm in this paper is good.
万方数据
维普
