Image & Video quality assessment becomes increasingly important due to the many applications of video where the end user is a human.
Therefore, it is desirable to develop a visual quality metric that correlates well with human visual perception.
This paper presents an automatic full-reference image quality assessment technique based on DCT Sub-bands Similarity (DSS).
The proposed technique exploits important characteristics of human visual perception by working in sub-bands in the Discrete Cosine Transform (DCT) domain and weighting the results for these sub-bands. By careful temporal pooling, DSS can also be used for video quality assessment.
This project task was to tune and adjust the algorithm in order to get better results.