arXiv Open Access 2024

Cool-Chic: Perceptually Tuned Low Complexity Overfitted Image Coder

Théo Ladune Pierrick Philippe Gordon Clare Félix Henry Thomas Leguay

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This paper summarises the design of the Cool-Chic candidate for the Challenge on Learned Image Compression. This candidate attempts to demonstrate that neural coding methods can lead to low complexity and lightweight image decoders while still offering competitive performance. The approach is based on the already published overfitted lightweight neural networks Cool-Chic, further adapted to the human subjective viewing targeted in this challenge.

Topik & Kata Kunci

eess.IV

Penulis (5)

Théo Ladune

Pierrick Philippe

Gordon Clare

Félix Henry

Thomas Leguay

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Ladune, T., Philippe, P., Clare, G., Henry, F., Leguay, T. (2024). Cool-Chic: Perceptually Tuned Low Complexity Overfitted Image Coder. https://arxiv.org/abs/2401.02156

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Tahun Terbit: 2024
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓