VLIC: Using Vision-Language Models for Human-Aligned Image Compression

This research explores a novel application of Vision-Language Models (VLMs) in the field of image compression. The core idea of using VLMs as perceptual judges to align compression with human perception is promising and could lead to more efficient and visually appealing compression techniques.

• •VLIC utilizes Vision-Language Models to assess image quality after compression.
• •The approach aims to create compression algorithms that are more aligned with human perception.
• •The research focuses on optimizing compression for visual fidelity, potentially reducing artifacts.