Abstract
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.
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