论文标题
无损白平衡，可改善无损CFA图像和视频压缩
Lossless White Balance For Improved Lossless CFA Image and Video Compression
论文作者
论文摘要
颜色过滤器阵列是放置在相机传感器中像素探测器上的像素大小过滤器的空间多路复用。由此类传感器捕获的原始传感器数据的最先进的无损编码技术利用升降方案利用空间或跨色相关性。在本文中，我们提出了一种基于举重的无损白平衡算法。当应用于原始传感器数据时，隐含的色彩信号的空间带宽会减少。我们建议将这种白平衡作为预处理步骤，以实现无损CFA的图像/视频压缩，从而提高了原始传感器数据的整体编码效率。
Color filter array is spatial multiplexing of pixel-sized filters placed over pixel detectors in camera sensors. The state-of-the-art lossless coding techniques of raw sensor data captured by such sensors leverage spatial or cross-color correlation using lifting schemes. In this paper, we propose a lifting-based lossless white balance algorithm. When applied to the raw sensor data, the spatial bandwidth of the implied chrominance signals decreases. We propose to use this white balance as a pre-processing step to lossless CFA subsampled image/video compression, improving the overall coding efficiency of the raw sensor data.
