MSCI: A Multi-Source Composite Image Database for Compression Distortion Quality Assessment
Xiaofang Zhang, Zhuowei Xu, Zhiheng Lin, Miaohui Wang · 2022 IEEE International Conference on Visual Communications and Image Processing (VCIP) · 2022
With the rapid development of multi-sensor fusion technology in various industrial fields, many composite images closely related to human life have been produced. To meet the rapidly growing needs of various image-based applications, we have established the first multi-source composite image (MSCI) database for image quality assessment (IQA). Our MSCI database contains 80 reference images and 1600 distorted images, generated by four advanced compression standards with five distortion levels. In particular, these five distortion levels are determined based on the first five just noticeable difference (JND) levels. Moreover, we verify the IQA performance of some representative methods on our MSCI database. The experimental results show that the performance of the existing methods on the MSCI database needs to be further improved.