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Published in:
2013 | OriginalPaper | Chapter
Compression of Depth Maps with Segment-Based Homogeneous Diffusion
Authors : Sebastian Hoffmann, Markus Mainberger, Joachim Weickert, Michael Puhl
Published in: Scale Space and Variational Methods in Computer Vision
Publisher: Springer Berlin Heidelberg
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The efficient compression of depth maps is becoming more and more important. We present a novel codec specifically suited for this task. In the encoding step we segment the image and extract between-pixel contours. Subsequently we optimise the grey values at carefully selected mask points, including both hexagonal grid locations as well as freely chosen points. We use a chain code to store the contours. For the decoding we apply a segment-based homogeneous diffusion inpainting. The segmentation allows parallel processing of the individual segments. Experiments show that our compression algorithm outperforms comparable methods such as JPEG or JPEG2000, while being competitive with HEVC (High Efficiency Video Coding).