Abstract: In image processing algorithms the wavelet transform is widely used in image processing algorithms. In this paper two wavelet compression techniques are applied on the image. The image compression is performed using EZW and SPIHT wavelet based compression techniques. A good flexibility to a wide range of data have presented in wavelet compression, while being of reasonable complexity. These techniques are more efficient and provide a better quality in the image. The different techniques are compared by using the performance parameters (1)Peak Signal to Noise Ratio (PSNR), (2) Mean Square Error (MSE), (3) Compression Ratio (CR) and (4) Bit rate (BR) at different threshold value. These parameters are observed to know which technique is better for image compression in wavelet. It is observed that compression ratio for SPIHT is better as compared to compression ratio of EZW.
Keywords: EZW, MSE, PSNR,SPIHT.
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