Lossless White Balance For Improved Lossless CFA Image and Video Compression
Image and Video Processing
2020-09-22 v1 Computer Vision and Pattern Recognition
Abstract
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.
Cite
@article{arxiv.2009.09137,
title = {Lossless White Balance For Improved Lossless CFA Image and Video Compression},
author = {Yeejin Lee and Keigo Hirakawa},
journal= {arXiv preprint arXiv:2009.09137},
year = {2020}
}