Lossy compression of high dynamic range images and video
Lossy compression of high dynamic range images and video
复制标题
高动态范围图像和视频的有损压缩
DOI：
10.1117/12.639140
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发表时间：
2006
期刊：
影响因子：
--
通讯作者：
H. Seidel
中科院分区：
文献类型：
--
作者：
Rafał K. Mantiuk;K. Myszkowski;H. Seidel
大多数常见的图像和视频格式都被设计为与现有的输出设备（如LCD或CRT显示器）一起使用。随着显示技术取得巨大进步，这些格式不再能够表示新设备可以显示的数据。因此，向更高精度的图像和视频格式的转变似乎迫在眉睫。为了克服常见的图像和视频格式，如JPEG，PNG或MPEG的限制，我们提出了一种新的颜色空间，它可以容纳一个扩展的动态范围，并保证精度低于可见性阈值。从对比度检测数据导出的所提出的颜色空间可以表示人眼可见的亮度值的全范围和完整色域。我们表明，只需要微小的变化，现有的编码算法，以适应一个新的颜色空间，因此大大提高了视觉数据的信息内容。我们证明了这两个压缩算法的高动态范围（HDR）的视觉数据：静态图像和视频。我们认为，所提出的HDR表示是一种简单而通用的方式来编码独立于显示或捕获技术的视觉数据。
Most common image and video formats have been designed to work with existing output devices, like LCD or CRT monitors. As the display technology makes huge progress, these formats can no longer represent the data that the new devices can display. Therefore a shift towards higher precision image and video formats seems to be imminent. To overcome limitations of the common image and video formats, such as JPEG, PNG or MPEG, we propose a novel color space, which can accommodate an extended dynamic range and guarantees the precision that is below the visibility threshold. The proposed color space, which is derived from the contrast detection data, can represent the full range of luminance values and the complete color gamut that is visible to the human eye. We show that only minor changes are required to the existing encoding algorithms to accommodate a new color space and therefore greatly enhance information content of the visual data. We demonstrate this on 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 independently of the display or capture technology.