Search Results for author: Hiroaki Akutsu

Found 4 papers, 2 papers with code

Universal Deep Image Compression via Content-Adaptive Optimization with Adapters

1 code implementation2 Nov 2022 Koki Tsubota, Hiroaki Akutsu, Kiyoharu Aizawa

This task aims to compress images belonging to arbitrary domains, such as natural images, line drawings, and comics.

Image Compression

Evaluating the Stability of Deep Image Quality Assessment With Respect to Image Scaling

no code implementations20 Jul 2022 Koki Tsubota, Hiroaki Akutsu, Kiyoharu Aizawa

We comprehensively evaluate four deep IQAs on the same five datasets, and the experimental results show that image scale significantly influences IQA performance.

Image Quality Assessment SSIM

Channel-Level Variable Quantization Network for Deep Image Compression

1 code implementation15 Jul 2020 Zhisheng Zhong, Hiroaki Akutsu, Kiyoharu Aizawa

In this paper, we propose a channel-level variable quantization network to dynamically allocate more bitrates for significant channels and withdraw bitrates for negligible channels.

Image Compression Quantization

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