Quantifying the effect of image compression on supervised learning applications in optical microscopy.
Enrico PomaricoCédric SchmidtFlorian ChaysDavid NguyenArielle PlanchetteAudrey TissotAdrien RouxStéphane PagèsLaura BattiChristoph ClausenTheo LasserAleksandra RadenovicBruno SanguinettiJérôme ExtermannPublished in: CoRR (2020)
Keyphrases
- image compression
- supervised learning
- vector quantization
- wavelet transform
- unsupervised learning
- image analysis
- compression ratio
- compression algorithm
- statistical learning
- reconstructed image
- active learning
- subband
- learning algorithm
- low bit rate
- high throughput
- training data
- image coding
- image enhancement
- semi supervised
- training set
- compression scheme
- computer vision
- machine learning
- compressed images
- supervised machine learning
- block truncation coding
- charge coupled device