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1. JPEG-deblocking of Blood Cell Images using Deep Learning
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : This thesis investigates the use of convolutional neural networks as a reconstruction or JPEG- deblocking model for JPEG-compressed blood cell images, needed due to the well known block artifacts caused by JPEG-compression. CellaVision develops automated microscopy for blood analysis that detects and classifies blood cells from images. LÄS MER
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