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