High dynamic range image compression using base map coding
High dynamic range image compression using base map coding
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发表时间：
2012-12
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通讯作者：
Takuya Fujiki;N. Adami;Takao Jinno;M. Okuda
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作者：
Takuya Fujiki;N. Adami;Takao Jinno;M. Okuda
由于高动态范围（High Dynamic Range，HDR）图像通常每通道具有超过10位/1024色，因此在传输或存储图像时，其庞大的数据量通常需要减少。因此，函数压缩的发展是一个重要的研究课题。近来，提出了许多用于HDR图像压缩的技术，并且已经研究了分别对低动态范围（LDR）图像和残差图像进行编码的几种两层编码算法。然而，这些方法在编码性能上是低效的。本文提出了一种新的HDR图像两层编码算法，实现了两层动态范围。我们的方法编码的基本地图，这是一个模糊版本的HDR，和LDR图像产生的基本地图。我们的算法显着提高了压缩性能。
As the High dynamic range (HDR) images generally have more than 10 bit/1024 colors per channel, its enormous data size often needs to be reduced when transmitting or storing the images. Thus development for functional compression is one of important research topics. Recently a lot of techniques for the HDR image compression are being suggested, and several two-layer coding algorithms which separately encode a low dynamic range (LDR) image and a residual image have been studied. However, those methods are inefficient in coding performance. In this article, we suggest a new two-layer coding algorithm for the HDR images, which realizes two-layered dynamic range. Our method encodes a base map, which is a blurred version of the HDR, and LDR image produced by the base map. Our algorithm significantly improves a compression performance.