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pro vyhledávání: '"Rahul Mohideen Kaja Mohideen"'
Autor:
Pascal Peter, Sarah Andris, Rahul Mohideen Kaja Mohideen, Sebastian Hoffmann, Joachim Weickert
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030755485
SSVM
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Scale Space and Variational Methods in Computer Vision
SSVM
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Scale Space and Variational Methods in Computer Vision
Compression methods based on inpainting are an evolving alternative to classical transform-based codecs for still images. Attempts to apply these ideas to video compression are rare, since reaching real-time performance is very challenging. Therefore
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05212cca4196e94ac872b3e956a81408
https://doi.org/10.1007/978-3-030-75549-2_34
https://doi.org/10.1007/978-3-030-75549-2_34
Inpainting-based compression represents images in terms of a sparse subset of its pixel data. Storing the carefully optimised positions of known data creates a lossless compression problem on sparse and often scattered binary images. This central iss
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d72d27732efa199edea38167e6ff36f4