Abstract

In this study, a new adaptive post-filtering algorithm is proposed to remove observed blocking artifacts as a result of discrete cosine transform (DCT) based image and video compression standarts at low bit rates. With identification of blocking artifact strength, fuzzy filter is applied by adjusting filtering range and its parameters. Experimental results showed that, the proposed algorithm exhibits better detail preservation and artifact removal performance with lower computational cost as compared to other post-processing techniques. Accordingly, this can be used for the real time image and video applications without undesired artifacts.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call