TLIC: Learned Image Compression with ROI-Weighted Distortion and Bit Allocation

Fuente: arXiv
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Hauptverfasser: Jiang, Wei, Zhai, Yongqi, Li, Hangyu, Wang, Ronggang
Format: Preprint
Veröffentlicht: 2024
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author Jiang, Wei
Zhai, Yongqi
Li, Hangyu
Wang, Ronggang
author_facet Jiang, Wei
Zhai, Yongqi
Li, Hangyu
Wang, Ronggang
contents This short paper describes our method for the track of image compression. To achieve better perceptual quality, we use the adversarial loss to generate realistic textures, use region of interest (ROI) mask to guide the bit allocation for different regions. Our Team name is TLIC.
format Preprint
id arxiv_https___arxiv_org_abs_2401_08154
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle TLIC: Learned Image Compression with ROI-Weighted Distortion and Bit Allocation
Jiang, Wei
Zhai, Yongqi
Li, Hangyu
Wang, Ronggang
Computer Vision and Pattern Recognition
Image and Video Processing
This short paper describes our method for the track of image compression. To achieve better perceptual quality, we use the adversarial loss to generate realistic textures, use region of interest (ROI) mask to guide the bit allocation for different regions. Our Team name is TLIC.
title TLIC: Learned Image Compression with ROI-Weighted Distortion and Bit Allocation
topic Computer Vision and Pattern Recognition
Image and Video Processing
url https://arxiv.org/abs/2401.08154