Lossy compression of high dynamic range images and video

Most common image and video formats have been designed to work with existing output devices, like LCD or CRT monitors. As display technology makes progress, these formats no longer represent the data that new devices can display. Therefore a shift towards higher precision image and video formats is imminent. To overcome limitations of common image and video formats, such as JPEG, PNG or MPEG, we propose a novel color space, which call accommodate an extended dynamic range and guarantees the precision that is below the visibility threshold. The proposed color space, which is derived from contrast detection data, call represent the full range of luminance values and the complete color gamut that is visible to the human eve. We show that only minor changes are required to the existing encoding algorithms to accommodate the new color space and therefore greatly enhance information content of the visual data. We demonstrate this with two compression algorithms for High Dynamic Range (HDR) visual data: for static images and for video. We argue that the proposed HDR representation is a simple and universal way to encode visual data independent of the display or capture technology