TY - JOUR
T1 - Fast MCT optimization for the compression of whole-slide images
AU - Hernandez-Cabronero, Miguel
AU - Sanchez, Victor
AU - Auli-Llinas, Francesc
AU - Serra-Sagrista, Joan
PY - 2016/8/3
Y1 - 2016/8/3
N2 - Lossy compression techniques based on multi-component transformation (MCT) can effectively enhance the storage and transmission of whole-slide images (WSIs) without adversely affecting subsequent diagnosis processes. Component transforms that are designed for other types of images or that do not take into account all aspects of the compression algorithm applied on the transformed components yield suboptimal coding performance. Recently, an MCT optimization framework adapted to the particularities of the input WSI and the following compression was proposed, yielding superior coding performance than the state of the art. However, its time complexity is too high for practical purposes. In this work FastOptimizeMCT, a fast version of this framework based on smart sampling of regions depicting tissue, is proposed. Exhaustive experimental evidence indicates that FastOptimizeMCT exhibits reasonable time complexity results-similar to that of scanning the WSIs-and coding performance that outperforms the KLT and the OST by 1.47 dB and 1.07 dB, respectively.
AB - Lossy compression techniques based on multi-component transformation (MCT) can effectively enhance the storage and transmission of whole-slide images (WSIs) without adversely affecting subsequent diagnosis processes. Component transforms that are designed for other types of images or that do not take into account all aspects of the compression algorithm applied on the transformed components yield suboptimal coding performance. Recently, an MCT optimization framework adapted to the particularities of the input WSI and the following compression was proposed, yielding superior coding performance than the state of the art. However, its time complexity is too high for practical purposes. In this work FastOptimizeMCT, a fast version of this framework based on smart sampling of regions depicting tissue, is proposed. Exhaustive experimental evidence indicates that FastOptimizeMCT exhibits reasonable time complexity results-similar to that of scanning the WSIs-and coding performance that outperforms the KLT and the OST by 1.47 dB and 1.07 dB, respectively.
KW - Image compression
KW - Multi-component transforms
KW - Whole-slide images
UR - http://www.scopus.com/inward/record.url?scp=85006783337&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2016.7532783
DO - 10.1109/ICIP.2016.7532783
M3 - Artículo
AN - SCOPUS:85006783337
SN - 1522-4880
SP - 2370
EP - 2374
JO - Proceedings - International Conference on Image Processing, ICIP
JF - Proceedings - International Conference on Image Processing, ICIP
ER -