Compression through extraction of learned parameters from images in de-correlated image space
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42044-024-00173-0.pdf
Reference30 articles.
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3. Hasnat, A., Barman, D.: A proposed multi-image compression technique. J. Intell. Fuzzy Syst. 36(4), 3177–3193 (2019). https://doi.org/10.3233/JIFS-18360
4. Hernandez-Lopez, F.J., Muñiz-Pérez, O.: Parallel fractal image compression using quadtree partition with task and dynamic parallelism. J. Real-Time Image Proc. 19, 391–402 (2022). https://doi.org/10.1007/s11554-021-01193-w
5. Hasnat, A., Barman, D., Halder, S., Bhattacharjee, D.: Modified vector quantization algorithm to overcome the blocking artefact problem of vector quantization algorithm. J. Intell. Fuzzy Syst. 32(5), 3711–3727 (2017). https://doi.org/10.3233/JIFS-169304
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