A NO-REFERENCE RINGING METRIC BASED ON MACHINE LEARNING TECHNIQUES
Aleksandar Milchevski, Zoran Ivanovski, and Dejan Gjorgjevikj
Abstract: In this work we propose a subjective no reference ringing metric using machine learning techniques. For every block in a JPEG compressed image the algorithm outputs a value which corresponds to the annoyance of the ringing artifacts. The extracted feature vector is designed bearing in mind the properties of the HVS (Human Visual System) and the ringing artifacts. The presented results show successful rating of the annoyance of the ringing artifacts.