BTF‐CIELab: A Perceptual Difference Measure for Quality Assessment and Compression of BTFs
BTF‐CIELab: A Perceptual Difference Measure for Quality Assessment and Compression of BTFs
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DOI：
10.1111/j.1467-8659.2008.01299.x
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发表时间：
2009-03
影响因子：
2.5
通讯作者：
M. Guthe;Gero Müller;Martin Schneider;R. Klein
中科院分区：
文献类型：
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作者：
M. Guthe;Gero Müller;Martin Schneider;R. Klein
在双向纹理函数(BTF)的有损压缩技术的推动下，越来越需要可靠的方法来对各种压缩表示的视觉质量进行数值测量。基于CIEΔE00色差方程及其时空扩展ST-CIELab的概念，提出了一种用于视频质量评价的压缩BTF值的数值质量度量方法。通过分析BTF的全六维(6D)空间，光和视图过渡效果被整合到测量中。除了压缩表示外，该方法只需要源BTF图像作为输入，从而有助于通过简单的数值比较来客观地评价不同的压缩技术。通过分离差度量的空间分量和角度分量并将它们中的每一个线性化，该度量可以并入任何线性或多线性压缩技术中。使用每个颜色通道的主成分分析(PCA)，可以在良好的视觉质量下获得约500：1的压缩比。
Driven by the advances in lossy compression of bidirectional texture functions (BTFs), there is a growing need for reliable methods to numerically measure the visual quality of the various compressed representations. Based on the CIE ΔE00 colour difference equation and concepts of its spatio‐temporal extension ST‐CIELab for video quality assessment, this paper presents a numerical quality measure for compressed BTF representations. By analysing the BTF in its full six‐dimensional (6D) space, light and view transition effects are integrated into the measure. In addition to the compressed representation, the method only requires the source BTF images as input and thus aids the objective evaluation of different compression techniques by means of a simple numerical comparison. By separating the spatial and angular components of the difference measure and linearizing each of them, the measure can be incorporated into any linear or multi‐linear compression technique. Using a per‐colour‐channel principal component analysis (PCA), compression rates of about 500:1 can be achieved at excellent visual quality.