11 citations · 17 across the 8 of their papers we have counts for
5 papers · 1 filter
Variable-Rate Learned Image Compression with Multi-Objective Optimization and Quantization-Reconstruction Offsets
Fatih Kamisli, Fabien Racape, Hyomin Choi
Achieving successful variable bitrate compression with computationally simple algorithms from a single end-to-end learned image or video compression model remains a challenge. Many…
Learned Lossless Image Compression Through Interpolation With Low Complexity
Fatih Kamisli
With the increasing popularity of deep learning in image processing, many learned lossless image compression methods have been proposed recently. One group of algorithms that have…
Image Compression With Learned Lifting-Based DWT and Learned Tree-Based Entropy Models
Ugur Berk Sahin, Fatih Kamisli
This paper explores learned image compression based on traditional and learned discrete wavelet transform (DWT) architectures and learned entropy models for coding DWT subband coef…
A Learned Pixel-by-Pixel Lossless Image Compression Method with 59K Parameters and Parallel Decoding
Sinem Gumus, Fatih Kamisli
This paper considers lossless image compression and presents a learned compression system that can achieve state-of-the-art lossless compression performance but uses only 59K param…
End-to-End Learned Block-Based Image Compression with Block-Level Masked Convolutions and Asymptotic Closed Loop Training
Fatih Kamisli
Learned image compression research has achieved state-of-the-art compression performance with auto-encoder based neural network architectures, where the image is mapped via convolu…