Lossless Image Compression Method
Author Information
Author(s): Ulacha Grzegorz, Łazoryszczak Mirosław
Primary Institution: Faculty of Computer Science and Information Technology, West Pomeranian University of Technology in Szczecin
Hypothesis
Can a new method for lossless image compression improve efficiency and reduce decoding time?
Conclusion
The proposed method achieves high compression efficiency and significantly reduces decoding time compared to existing solutions.
Supporting Evidence
- The proposed method shows a 9.1% improvement in bit average compared to JPEG-LS.
- Decoding times are significantly reduced, making the method practical for real-time applications.
- The method allows for tailored prediction models based on image characteristics.
Takeaway
This study presents a new way to compress images without losing any data, making it faster to decode them later.
Methodology
The method uses linear and nonlinear prediction with forward adaptation and context-switching algorithms to enhance compression efficiency.
Limitations
The method's performance may vary based on the characteristics of the images being compressed.
Digital Object Identifier (DOI)
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