Assessment of Quality of Experience of High Dynamic Range Images Using the EEG and Applications in Healthcare
Research student: Shaymaa S Al-Juboori
Course: PhD, Computing and Electronics
Funding: Iraq Ministry of Higher Education and Scientific Research
Start date: 1 October, 2014
Supervisors: Professor Emmanuel Ifeachor (Director of studies) and Dr Lingfen Sun
Recent years have witnessed the widespread application of High Dynamic Range (HDR) imaging, which like the Human Visual System, has the ability to capture a wide range of luminance values. Areas of application include home-entertainment, security, scientific imaging, video processing, computer graphics, multimedia communications, and healthcare. However, in practice, HDR content cannot be displayed in full on standard or low dynamic range (LDR) displays, and this diminishes the benefits of HDR technology for many users. To address this problem, Tone-Mapping Operators (TMO) are used to convert HDR images so that they can be displayed on low-dynamic-range displays and preserve as far as possible the perception of HDR. However, this may affect the visual Quality of Experience (QoE) of the end user and this is a vital issue in image and video applications.
The aim of the project is to investigate the assessment of the visual QoE of HDR images on small screen devices (e.g. smart phones) using the electroencephalogram (EEG) and to explore how to exploit the outcome of this in novel applications in healthcare (e.g. to detect colour vision deficiency).