SYSTEM AND METHOD FOR ESTIMATING SUBJECT IMAGE QUALITY USING VISUAL SALIENCY AND A RECORDING MEDIUM HAVING COMPUTER READABLE PROGRAM FOR EXECUTING THE METHOD

摘要

Disclosed are a subjective image quality evaluation system using an importance map, a method, and a recording medium recording a computer readable program for executing the method. The subjective image quality evaluation system includes an image acquisition unit, an image information calculation unit, an importance map calculation unit, an information integration unit, and an image quality evaluation unit. The image acquisition unit acquires a test image, the image information calculation unit acquires preset image information for the test image using machine learning, and the importance map calculation unit acquires an importance map for the test image using machine learning, information The integration unit assigns weights to the image information using the importance map, and the image quality evaluation unit calculates a quality evaluation result of the test image using the weighted image information. According to such a configuration, image quality evaluation is possible only with the test image without the reference image by acquiring the image information and the importance map using machine learning.