A novel method of lossy image compression for digital image sensors with Bayer color filter arrays

作者：Xie X^*; Li GL; Wang ZH; Zhang C; Li DM; Li XW

来源：IEEE International Symposium on Circuits and Systems (ISCAS), 2005-05-23 to 2005-05-26.

• Bayer CFA
• low-pass filter
• lossy image
• compression
• and quincunx pattern

Through the analysis of exist compression-first methods, this paper presents a novel method of lossy image compression for digital colorful image sensors with Bayer Color Filter Arrays (CFAs). In this method, an optimized compression and decompression structure is presented, and the captured CFA raw data is firstly low-pass filtered in RGB space by a smooth filter followed by the down-sampling operation. Then, the data are transformed from RGB space to YCbCr space. Lastly, the filtered data in YCbCr are compressed directly before full color interpolation that introduces redundancy. The presented method can provide lower compression ratio (bit/pixel) and lower complexity than conventional interpolation-first image compression methods and other existing similar compression-first methods.

• 出版日期2005
• 单位清华大学