Uncrowded Window Inspired Ultra High Definition Television Display

Ultra high definition television (UHDTV) has gradually entered our daily life. However, because of the large data of UHDTV, it is hard to render images in real time. We proposed an eye tracking based solution using the concept of uncrowned window from vision research. The theory of uncrowded window suggests that human vision can only effectively recognize objects inside a small window. Object features outside the window cannot be combined properly and therefore they will not be recognizable. We use eye tracker to locate fixation points of the user in real time, and the area inside the uncrowded window displays the results of some advanced image processing algorithms such as deblurring, up scaling, tone mapping of high dynamic range (HDR) imaging and contrast enhancement. Outside of the window we can just process the images simply. Since the user can only see within the uncrowded window, detrimental impact of those poor images outside of the window is almost negligible. The proposed prototype system was written in C++ with SDKs of DirectX, Tobii Gaze SDK, OpenCV, CEGUI and etc. Demonstration of the system will be provided to show that the proposed method is an effective solution to UHDTV display.