IQA-Server

Example Use Cases

• 1

  Compare image quality using standard metrics like PSNR and SSIM.

• 2

  Perceptual similarity assessment using deep learning based LPIPS metric.

• 3

  Detailed image statistics and comprehensive quality analysis.

Description

IQA-Server is a comprehensive Model Context Protocol server that evaluates image quality through multiple traditional and perceptual metrics. It supports flexible input formats including file paths, base64 data URLs, and raw bytes, and leverages GPU acceleration when available for deep learning models. The server offers detailed image statistics, quality interpretations, and seamless integration via MCP compliance, making it suitable for diverse image quality analysis needs.