A Low Cost Algorithm for CFA Data Compression
Arcangelo Ranieri Bruna, Antonio Buemi, Filippo Vella, Andrea Vitali · 2006
This paper introduces a new, low cost algorithm based on vector quantization (VQ) that allows compression of data in color filter array (CFA), the format provided by the physical sensor in almost all the digital still cameras (DSCs) and video cameras. The proposed method allows a compression of 45% with no visual loss in the output.