Data compression of light field using wavelet packet
A disparity-compensated compression scheme for light fields is presented. In contrast to prior disparity-compensated based codecs we perform disparity estimating and image predicting in subbands not directly in the original images. In our approach, firstly the original images are decomposed into subbands using the wavelet packet transform, and then the corresponding wavelet packet bases are divided into predictable bases and unpredictable bases by some criteria. In coding, the hierarchical structure proposed by Magnor (1999) is used, and the subbands corresponding to the predictable and unpredictable basis are added sequentially by relative energy until the reconstructed images meet the pre-established reconstruction quality. Except for high compression ratios our approach also provides scalability to some extent. Experiments for two standard light fields verify the efficiency of our approach