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High bit depth data acquisition and manipulation have been largely studied at the academic level over the last 15 years and are rapidly attracting interest at the industrial level. An example of the increasing interest for high-dynamic range (HDR) imaging is the use of 32-bit floating point data for video and image acquisition and manipulation that allows a variety of visual effects that closely mimic...
Recent advances in high dynamic range (HDR) capturing and display technologies attracted a lot of interest to HDR imaging. Many issues that are considered as being resolved for conventional low dynamic range (LDR) images pose new challenges in HDR context. One such issue is a lack of standards for HDR image compression. Another is the limited availability of suitable image datasets that are suitable...
High Dynamic Range (HDR) imaging is able to capture a wide range of luminance values, closer to what the human visual system can perceive. It is believed by many that HDR is a technology that will revolutionize TV and cinema industry similar to how color television did. However, the complexity of HDR requires reinvention of the whole chain from capture to display. In this paper, HDR images compressed...
Different formats and compression algorithms have been proposed for 3D video content, but 3D images are still mostly represented as a stereo pair only. However, for enhanced 3D rendering capabilities, such as depth perception adjustment or display size adaptation, additional depth data is necessary. To facilitate the standardization process of a common 3D format, backward compatibility with legacy...
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