- Basics: digital images 2D/3D/4D, imaging modalities, spatial, contrast and temporal resolution - The concept of image quality: human visual system and perception, foveal and peripheral vision, contrast transfer function, effect of context, perceptual image quality, functional and aesthetic quality, fidelity, colour perception, attention, video quality - Image acquisition and storage parameters influencing quality: sensor MTF, illumination/dose level, MR image quality, ultrasound, image compression, sensor artifacts - Display parameters affecting quality: environment, display equipment, diagnostic monitors, monitor calibration, DICOM standard GSPS and ensuring displayed diagnostic image quality - Subjective image quality estimation: subjective study structure, subjective quality scales, MOS/DMOS, human performance measurement, statistical analysis of data from subjective quality studies - Objective image quality measures: contrast, resolution and dynamic phantoms, physical quality measures, determination of MTF, DQE (detector quantum efficiency), CNR, measurement of SNR - Computational measurement of image quality: objective quality evaluation contexts, full/ partial/no reference measures, conventional objective quality metrics MSE, PSNR - Objective image quality metrics: single and multi-scale structural similarity, no reference measures, multi-dimensional quality estimation, achromatic contrast evaluation - Objective video quality measures: dynamic quality, dynamic perception, noise, movement perception, attention - Image processing for quality improvement: MTF and sharpness corrections, normalised contrast and structure visibility enhancement, tone scaling and signal saturation, standard processing algorithms and tools for improving image quality