A Comprehensive Framework for Perceptual Quality Assessment in AI-Based Image Compression
Perceptual quality assessment has become the central bottleneck in the design, evaluation, and deployment of artificial-intelligence-based image compression systems. Classical signal-fidelity measures such as mean squared error (MSE) and peak signal-to-noise ratio (PSNR) correlate poorly with human judgment. Learned co...