5 citations · 5 across the 2 of their papers we have counts for
2 papers
eess.IV2021
A Practical Approach for Rate-Distortion-Perception Analysis in Learned Image Compression
Ogun Kirmemis, A. Murat Tekalp
Rate-distortion optimization (RDO) of codecs, where distortion is quantified by the mean-square error, has been a standard practice in image/video compression over the years. RDO s…
eess.IV2018★ 5 cited
Learned Compression Artifact Removal by Deep Residual Networks
Ogün Kırmemiş, Gonca Bakar, A. Murat Tekalp
We propose a method for learned compression artifact removal by post-processing of BPG compressed images. We trained three networks of different sizes. We encoded input images usin…