@article{XIE2007, 
author = {Xiang XIE and Guolin LI and Zhihua WANG},
title = {A Low Complexity and High Efficient Method for Image Compression with Bayer CFAs},
year = {2007},
journal = {Tsinghua Science and Technology},
volume = {12},
number = {1},
pages = {22-29},
keywords = {Bayer color filter array (CFA), low-pass filter, lossy image compression, quincunx pattern},
url = {https://www.sciopen.com/article/10.1016/S1007-0214(07)70004-4},
doi = {10.1016/S1007-0214(07)70004-4},
abstract = {This paper presents a novel method of lossy image compression for digital colorful image sensors with Bayer color filter arrays (CFAs) based on an analysis of existing compression-first methods. An improved compression and decompression structure is described. The captured CFA raw data are firstly low-pass filtered in RGB space by a smooth filter followed by a down-sampling operation. Next, the data are transformed from RGB space to YCbCr space. Lastly, the filtered data in YCbCr space are compressed directly before full color interpolation to avoid redundancy. The presented method can provide a lower compression ratio and has lower complexity than both conventional interpolation-first image compression methods and other similar existing compression-first methods.}
}