A rate-distortion optimal evolutionary algorithm under the fixed bit-rate constraints for the JPEG quantization table optimization

Key Points

• 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.