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A rate-distortion optimal evolutionary algorithm under the fixed bit-rate constraints for the JPEG quantization table optimization | Synapse
March 3, 2026
A rate-distortion optimal evolutionary algorithm under the fixed bit-rate constraints for the JPEG quantization table optimization
QW
Qijun Wang
Anhui University
HL
H. Li
Anhui University
KX
Ke Xu
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Puntos clave
Optimization of JPEG quantization tables enhances image quality while adhering to fixed bit-rate constraints.
The algorithm demonstrates significant improvements in rate-distortion performance compared to traditional methods.
Observational analysis employing an evolutionary algorithm to optimize rate-distortion outcomes for JPEG images.
This work highlights the importance of adaptive algorithms in digital image processing, particularly under strict limitations.
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Wang et al. (Wed,) studied this question.
synapsesocial.com/papers/69a75c32c6e9836116a24cc2
https://doi.org/https://doi.org/10.1016/j.asoc.2026.114697
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