부산대학교 도서관

In recent years, video-codec-based image codecs, such as e.g. HEF, AVF, etc., have been increasingly used to compress images. Hence, there is a potential to use video quality prediction models for the evaluation of image quality. Bitstream-based models show promising results for video quality prediction, therefore, we investigate the applicability of such models for the case of image quality in this paper. For this purpose, we selected ITU-T Rec. P.1204.3 and its Mode 0 variant also known as $AVQBits|M3$ and $AVQBits|M0$ respectively for the evaluation, because they are computationally less complex and do not need a reference image. These models are evaluated using a publicly available dataset consisting of a total of 371 images of resolutions between $144\times 144$ pixels to $2160\times 2160$ pixels with subjective annotations. The results show that both the considered models perform well on the used dataset with a Pearson correlation of 0.958 and Root Mean Square Error (RMSE) of 0.319 (on a 1 to 5 Absolute Category Rating (ACR) scale) for the $AVQBits|M3$ model and a Pearson correlation of 0.942 and RMSE of 0.377 for the $AVQBits|M0$ model.