No Reference Image Quality Assessment Based on Deep Learning with Distortion Type Prediction

Abstract

In this paper, we propose an image quality estimation method using deep learning. In the conventional image quality estimation method, image characteristics were analyzed for each distortion of the image, and a model was constructed. In recent years, image quality estimation method that learns automatically the relationship between distortion and image quality using machine learning has been proposed. Furthermore, image quality estimation method using deep learning which is frequently used for general image recognition has been proposed. In this paper, we propose image quality estimation method which using deep neural network that considers the type of distortion. We show that our method improves estimation accuracy of image quality compared with conventional CNN model.