Künye "Gezer, M., Gargari, S. N., Güz, Ü. & Gürkan, H. (2019). Compression of the biomedical images using quadtree-based partitioned universally classified energy and pattern blocks. Signal, Image and Video Processing, 13(6), 1123-1130. doi:10.1007/s11760-019-01454-z" 1- Fakülteler | Faculties için listeleme
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Compression of the biomedical images using quadtree-based partitioned universally classified energy and pattern blocks
(Springer London, 2019-03-15)In this work, an efficient low bit rate image coding/compression method based on the quadtree-based partitioned universally classified energy and pattern building blocks (QB-UCEPB) is introduced. The proposed method combines ...