This investigation practices a grey wolf optimization algorithm to optimize the filter coefficients of the two-dimensional wavelet transform to increase the quality of the decompressed image with lossy compression. The reason for the decrease in image quality in wavelet-based compression is nothing more than a quantization error. Our approach reduces the effect of this quantization error by using an adaptive filtering technique with optimization of the wavelet filter coefficients. Experimental results showed that this optimized filter outperforms existing wavelet filters.

中文翻译：

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使用源自灰狼算法的优化小波滤波器进行图像压缩

这项研究实践了灰太狼优化算法，以优化二维小波变换的滤波系数，以通过有损压缩来提高解压缩图像的质量。在基于小波的压缩中图像质量下降的原因仅是量化误差。我们的方法通过使用自适应滤波器技术来优化小波滤波器系数，从而减少了此量化误差的影响。实验结果表明，该优化滤波器优于现有的小波滤波器。