Lossless plenoptic image compression using adaptive block differential prediction

• Published in: 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 1231 - 1234
• Main Author: Perra, Cristian
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-04-2015
• Subjects: Algorithm design and analysis; Cameras; Entropy; Image coding; Image color analysis; Image compression; Intra-prediction; JPEG2000; JPEGXR; Plenoptic signals; Transform coding
• ISSN: 1520-6149; 2379-190X
• DOI: 10.1109/ICASSP.2015.7178166

Plenoptic images are obtained from the projection of the light crossing a matrix of microlens arrays which replicates the scene from different direction into a camera device sensor. Plenoptic images have a different structure with respect to regular digital images, and novel algorithms for data compression are currently under research. This paper proposes an algorithm for the compression of plenoptic images. The micro images composing a plenoptic image are processed by an adaptive prediction tool, aiming at reducing data correlation before entropy coding takes place. The algorithm is compared with state-of-the-art image compression algorithms, namely, JPEG 2000 and JPEG XR. Obtained results demonstrate that the proposed algorithm improves the coding efficiency.