Video Quality Assessment

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.

Video Quality Assessment

 

Video Quality Assessment
Video Quality Assessment