Abstract
We propose enhancements to the 2D lossless image compression method embodied in CALIC. The enhanced version of CALIC obtained better compression than obtained by CALIC on 37 of the 45 images in our benchmark suite. The two methods tied on 6 of the remaining 8 images. This benchmark suite includes medical, natural, and man-made images. We also propose a lossless compression method for 3D images. Our method employs motion estimation and obtained better compression than competing wavelet-based lossless compression methods on all 8 3D medical images in our benchmark suite.KeywordsMotion VectorMotion EstimationCompression MethodMotion ErrorCompute TomograThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.