Full-Reference Image Quality Assessment

Full Reference Image Quality Assessment (FR-IQA) methods aim to quantify and evaluate the quality of distorted images by comparing them with reference images. This technique holds significant application value in computer vision, providing an objective standard for quality evaluation that ensures reliability and consistency in image processing, transmission, and storage across various application scenarios.