Reading: B-DRRN — Deep Recursive Residual Network with Block Information (Codec Filtering)

Original article was published on Deep Learning on Medium

Reading: B-DRRN — Deep Recursive Residual Network with Block Information (Codec Filtering)

Using DRRN Design With Double-Input, Outperforms ARCNN, VRCNN, DCAD, DRRN, Much Fewer Parameters Than Double-Input CNN

B-DRRN as Post-Processing Filter

In this story, Deep Recursive Residual Network with Block Information (B-DRRN), by Hosei University, is briefly described. read this because I work on video coding research.

B-DRRN acts as a post-processing filter (not an in-loop filter) to output an enhanced quality frame, as shown above. With the use of recursive units, it has fewer parameters than Double-Input CNN that I have just read few hours before. This is a paper in 2019 PCS. (Sik-Ho Tsang @ Medium)