Eye Movement Recordings To Study Determinants Of Image Quality In New Display Technology

Abstract The paper describes and illustrates a paradigm for in-depth study of perceived quality of visually displayed images. The development of new, all-digital display technology offers unique possibilities for fine tuning the match between display devices and the human perceptual system to achieve superior image quality. Engineering efforts need to be prioritized, however, according to which image characteristics are the most important for the perception of quality. Detailed studies have frequently run into problems because subjective data have not been very reliable. The present approach uses eye-movement data recorded while subjects view and compare images on different displays. These recordings provide quantitative data, indicating which parts of the test images received how much of a viewer’s attention. In addition, these recordings are played back to provide cues for subsequent retrospective verbalizations, providing more data about a subject’s thought processes when judging perceived image quality.