This page contains software implementations related to my research.
enb - Experiment Notebook
The enb python library can help you run reproducible experiments, analyze results and produce plots and result tables.
- Can be installed with `pip install enb`
- Github link
- Experiment Notebook documentation
moocloze - Moodle Clozes
The moocloze python library can help create batches of questions for Moodle courses.
- Can be installed with `pip install moocloze`
- Github link
Journal Paper Supplementary Materials
- Experiment scripts, raw results and plots for the following paper:
M. Hernández-Cabronero, A. Kiely, I. Blanes, J. Ligo, E. Magli and J. Serra-Sagristà, “The CCSDS 123.0-B-2 Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image Compression Standard: A comprehensive review,” IEEE Geoscience and Remote Sensing Magazine, 2021, DOI: 10.1109/MGRS.2020.3048443.
- Reproducible code capsule for paper "High-throughput variable-to-fixed entropy codec using selective, stochastic forest codes", published in IEEE Access.
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Supplementary multimedia for the following paper:
Miguel Hernández-Cabronero, Michael W. Marcellin, Ian Blanes, Joan Serra-Sagristà,
"Lossless Compression of Color Filter Array Mosaic Images with Visualization via JPEG 2000,"
IEEE Transactions on Multimedia, vol.20, no.2, pp.257-270, 2018.
Other Software
- Microarray Distortion Metric (MDM) implementation, as described in Miguel Hernández-Cabronero, Victor Sanchez, Michael W. Marcellin, Joan Serra-Sagristà, "A distortion metric for the lossy compression of DNA microarray images", In proceedings of the IEEE International Data Compression Conference, DCC 2013
- Configuration file for lossless compression of images with HEVC/H.265.
Note: The images must be converted to YUV 420 with both dimensions multiple of 8.