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首页> 外文会议>Conference on Real-Time Image Processing; 20080128-29; San Jose,CA(US) >Normal Map Compression Based on BTC and Wavelet Coding
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Normal Map Compression Based on BTC and Wavelet Coding

机译：基于BTC和小波编码的法线图压缩

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摘要

Normal mapping is a powerful technique for simulation of surface roughness by means of normal maps. The high polygon count model is represented by coarse polygon mesh with fine details stored in the normal map. Thus, the technique greatly reduces geometric complexity of models and shifts the demands on effective normal map compression algorithms. In this paper we present normal compression algorithm which extends the commonly used 3Dc algorithm introduced by ATI with wavelet compression based on Haar basis. Each block component is coded by one of two modes and the one which introduce the smallest error is chosen for block component representation. This allows for better adaptation to normal map data and improves the peak signal to noise ratio as compared to standalone 3Dc.
机译：法线贴图是通过法线贴图模拟表面粗糙度的强大技术。高多边形数模型由粗糙的多边形网格表示，精细的细节存储在法线贴图中。因此，该技术大大降低了模型的几何复杂度，并转移了对有效法线图压缩算法的需求。在本文中，我们提出了普通压缩算法，该算法在基于Haar的小波压缩基础上扩展了ATI引入的常用3Dc算法。每个块组件都通过两种模式之一进行编码，并且选择引入最小误差的一种模式进行块组件表示。与独立的3Dc相比，这可以更好地适应法线贴图数据并提高峰值信噪比。

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