Improving Lossless Image Compression with Contextual Memory
With the increased use of image acquisition devices, including cameras and medical imaging instruments, the amount of information ready for long term storage is also growing. In this paper we give a detailed description of the state-of-the-art lossless compression software PAQ8PX applied to grayscal...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-06-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/9/13/2681 |
| _version_ | 1819057267371147264 |
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| author | Alexandru Dorobanțiu Remus Brad |
| author_facet | Alexandru Dorobanțiu Remus Brad |
| author_sort | Alexandru Dorobanțiu |
| collection | DOAJ |
| description | With the increased use of image acquisition devices, including cameras and medical imaging instruments, the amount of information ready for long term storage is also growing. In this paper we give a detailed description of the state-of-the-art lossless compression software PAQ8PX applied to grayscale image compression. We propose a new online learning algorithm for predicting the probability of bits from a stream. We then proceed to integrate the algorithm into PAQ8PX’s image model. To verify the improvements, we test the new software on three public benchmarks. Experimental results show better scores on all of the test sets. |
| first_indexed | 2024-12-21T13:36:35Z |
| format | Article |
| id | doaj.art-911e5441525b4a1a84cd1b68dd64a54c |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-21T13:36:35Z |
| publishDate | 2019-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-911e5441525b4a1a84cd1b68dd64a54c2022-12-21T19:02:10ZengMDPI AGApplied Sciences2076-34172019-06-01913268110.3390/app9132681app9132681Improving Lossless Image Compression with Contextual MemoryAlexandru Dorobanțiu0Remus Brad1Computer Science Department, Faculty of Engineering, Lucian Blaga University of Sibiu, 550024 Sibiu, RomaniaComputer Science Department, Faculty of Engineering, Lucian Blaga University of Sibiu, 550024 Sibiu, RomaniaWith the increased use of image acquisition devices, including cameras and medical imaging instruments, the amount of information ready for long term storage is also growing. In this paper we give a detailed description of the state-of-the-art lossless compression software PAQ8PX applied to grayscale image compression. We propose a new online learning algorithm for predicting the probability of bits from a stream. We then proceed to integrate the algorithm into PAQ8PX’s image model. To verify the improvements, we test the new software on three public benchmarks. Experimental results show better scores on all of the test sets.https://www.mdpi.com/2076-3417/9/13/2681losslessimage compressionensemble learningcontextual informationprobabilistic methodgeometric weighting |
| spellingShingle | Alexandru Dorobanțiu Remus Brad Improving Lossless Image Compression with Contextual Memory Applied Sciences lossless image compression ensemble learning contextual information probabilistic method geometric weighting |
| title | Improving Lossless Image Compression with Contextual Memory |
| title_full | Improving Lossless Image Compression with Contextual Memory |
| title_fullStr | Improving Lossless Image Compression with Contextual Memory |
| title_full_unstemmed | Improving Lossless Image Compression with Contextual Memory |
| title_short | Improving Lossless Image Compression with Contextual Memory |
| title_sort | improving lossless image compression with contextual memory |
| topic | lossless image compression ensemble learning contextual information probabilistic method geometric weighting |
| url | https://www.mdpi.com/2076-3417/9/13/2681 |
| work_keys_str_mv | AT alexandrudorobantiu improvinglosslessimagecompressionwithcontextualmemory AT remusbrad improvinglosslessimagecompressionwithcontextualmemory |