Abstract
In 2-D image compression, recent approaches based on image inpainting with edge-enhancing anisotropic diffusion (EED) rival the transform-based quasi-standards JPEG and JPEG 2000 and are even able to surpass it. In this paper, we extend successful concepts from these 2-D methods to the 3-D setting, thereby establishing the first PDE-based 3-D image compression algorithm. This codec uses a cuboidal subdivision strategy to select and efficiently store a small set of sparse image data and reconstructs missing image parts with EED-based inpainting. An evaluation on real-world medical data substantiates the superior performance of this new algorithm in comparison to 2-D inpainting methods and the compression standard DICOM for medical data.
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Peter, P. (2013). Three-Dimensional Data Compression with Anisotropic Diffusion. In: Weickert, J., Hein, M., Schiele, B. (eds) Pattern Recognition. GCPR 2013. Lecture Notes in Computer Science, vol 8142. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40602-7_24
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DOI: https://doi.org/10.1007/978-3-642-40602-7_24
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