arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2009.09137eess.IVcs.CV
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用于改进的无损CFA图像和视频压缩的无损白平衡

Lossless White Balance For Improved Lossless CFA Image and Video Compression

Seoul National University of Science and Technology(首尔科学技术大学);University of Dayton(代顿大学)

Yeejin Lee, Keigo Hirakawa

摘要:

彩色滤光片阵列是放置在相机传感器中的像素检测器上的像素大小的滤光片的空间复用。由这种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了使用提升方案的空间或交叉颜色相关性。本文提出了一种基于提升的无损白平衡算法。当应用于原始传感器数据时,隐含色度信号的空间带宽减小。我们建议使用这种白平衡作为无损CFA二次采样图像/视频压缩的预处理步骤,提高原始传感器数据的整体编码效率。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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