@InProceedings{8902678,
  author = {G. Campobello and A. Segreto},
  booktitle = {2019 27th European Signal Processing Conference (EUSIPCO)},
  title = {A Low Complexity Image Compression Algorithm for IoT Multimedia Applications},
  year = {2019},
  pages = {1-5},
  abstract = {This paper focuses on a novel lossless image compression algorithm which can be efficiently used for Internet of Things (IoT) multimedia applications. The proposed algorithm has low memory requirements and relies on a simple and efficient encoding scheme. Thus it can be easily implemented even in low-cost microcontrollers as those commonly used in several IoT platforms. Despite its simplicity, comparison results on different image datasets show that the proposed algorithm achieves compression ratios comparable with other more complex state-of-the-art solutions.},
  keywords = {computational complexity;data compression;encoding;image coding;microcontrollers;multimedia computing;low memory requirements;simple encoding scheme;Internet of Things multimedia applications;IoT multimedia applications;low complexity image compression algorithm;compression ratios;image datasets;IoT platforms;low-cost microcontrollers;Image coding;Signal processing algorithms;Compression algorithms;Prediction algorithms;Channel coding;Internet of Things;Gray-scale},
  doi = {10.23919/EUSIPCO.2019.8902678},
  issn = {2076-1465},
  month = {Sep.},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2019/proceedings/papers/1570533486.pdf},
}

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