Comparison and Analysis several Wavelet from Daubechies Family in Image Compression

The need for quality images affects the large storage requirements and difficulties in transmission. Compression is a solution to the efficiency of storage and transmission. The Wavelet technique has the potential of providing high-quality compression. In this study, several wavelets from the Daubechies family were applied in image compression. Measurement of compression ratio, Mean Square Error (MSE), and peak signal-to-noise ratio (PSNR) determine the `acceptability' of the compression. Our test with the `Lena' image found that the compression ratio based on all wavelets gave almost identical results, but the db2 wavelet gave the smallest compression ratio and db36 gave the largest compression ratio. In terms of fidelity, DB5 gives the best results.