Simulated Annealing for JPEG Quantization

@article{Hopkins2017SimulatedAF,
  title={Simulated Annealing for JPEG Quantization},
  author={Max Hopkins and Michael Mitzenmacher and Sebastian Wagner-Carena},
  journal={2018 Data Compression Conference},
  year={2017},
  pages={412-412}
}
  • Max Hopkins, Michael Mitzenmacher, Sebastian Wagner-Carena
  • Published in Data Compression Conference 2017
  • Computer Science
  • JPEG is one of the most widely used image formats, but in some ways remains surprisingly unoptimized, perhaps because some natural optimizations would go outside the standard that defines JPEG. We show how to improve JPEG compression in a standard-compliant, backward-compatible manner, by finding improved default quantization tables. We describe a simulated annealing technique that has allowed us to find several quantization tables that perform better than the industry standard, in terms of… CONTINUE READING

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