Enhancing Perception Quality in Remote Sensing Image Compression via Invertible Neural Network

Despite the impressive performance of existing image compression algorithms, they struggle to balance perceptual quality and high image fidelity. To address this issue, we propose a novel invertible neural network-based remote sensing image compression (INN-RSIC) method. Our approach captures the co...

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Bibliographic Details
Main Authors: Junhui Li, Xingsong Hou
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/17/12/2074
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