Lossless compression of CFA sampled image using decorrelated Mallat wavelet packet decomposition

This paper presents a rigorous analysis of wavelet transform on color filter array (CFA) sampled images. The presented analysis suggests that the wavelet coefficients of HL and LH subbands are highly correlated. Hence, we propose a novel lossless compression scheme for CFA sampled images using the decorrelated Mallat wavelet packet decomposition. We validated our theoretical analysis and the performance of the proposed compression scheme using images of natural scenes captured in a raw format. The experimental results verify that our proposed method improves coding efficiency relative to the standard and the state-of-the-art lossless compression schemes CFA sampled images.