The period is defined by a deliberate shift toward transforming and analyzing high-dimensional imaging data through noise-aware methods. Researchers prioritize separating signal from noise with transforms that rank components by estimated image quality, enabling effective denoising, data reduction, and cross-domain applications in multispectral imaging, volume rendering, and texture-based analysis.