Abstract:
The paper proposes a method for lossless compression of subaperture image stacks obtained by rectifying light-field images captured by a plenoptic camera. We exploit the ...Show MoreMetadata
Abstract:
The paper proposes a method for lossless compression of subaperture image stacks obtained by rectifying light-field images captured by a plenoptic camera. We exploit the similarities between two subaperture images using a predictive coding algorithm, where the current view is predicted from one reference view. Context modeling is the main technique used to reduce the image file size. A suitable image segmentation and a template context are used by the context tree algorithm for encoding up to the smallest detail in each subaperture image. Entropy coding is configured by a residual analysis module. The results show improved performance compared to the state-of-the-art encoders.
Published in: 2017 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)
Date of Conference: 07-09 June 2017
Date Added to IEEE Xplore: 05 February 2018
ISBN Information:
Electronic ISSN: 2161-203X