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Binary medical image compression using the volumetric run-length approach
Published in The Imaging Science Journal, 2019
Erdoğan Aldemir, Gulay Tohumoglu, M. Alper Selver
The datasets are compressed by the 3D-RLE pipeline shown in Figure 2 and the 2D-RLE which is the system designed as the same scheme of the proposed technique but without utilization of inter-slice correlations. Both 2D-RLE and 3D-RLE algorithms are extended by aforementioned scanning forms besides to commonly used zigzag and linear scanning forms. The 2D-RLE compression method is applied to the datasets for comparison with the proposed 3D-RLE method. It is also shown in study of Aldemir et al. [32] that extending of the scanning form in 2D-RLE achieves a significant compression ratio (CR) even if in the case of utilizing only intra-slice correlation. The results are also compared to well-defined lossless compression standards, which have bi-level lossless compression support, such as PNG, JPEG2000, JXR, and ZIP, CCITT-G4, LZW, JBIG and JBIG2 for a comprehensive verification.