Novel no-reference image blur metric based on block-based discrete cosine transform statistics

摘要

A new algorithm for no-reference blurred imagenquality assessment is proposed. This metric is based onnblock-based discrete cosine transform statistics and linearnprediction method. We compare the performance of the proposednmethod with four blur metrics on three famous databasesnand our work shows the best results.