Digital wavelet transform based compression methods have higher compression rate with less amount of memory requirements, reversible and provide a better reconstructed images. In this paper execute image compression technique using EZW and SPIHT schemes. By using of different wavelet filters that is dmey, Symlets, Daubechies, Coiflets, reverse bi-orthogonal examine the compression performance. This method produces preserving most of the image information and the image is reproduced without degrading the image quality. Embedded zero tree wavelet is introduced by Shapiro and Amir Said introduced set partitioning in hierarchical trees. The best reconstructed images with better PSNR and minimum execution time provide by these techniques. Both techniques are compared by various parameters such as PSNR, CR, BPP, MSE & execution time. The results of image compression algorithm analyzed using MATLAB software and wavelet toolbox.

Today's world is the era of communication i.e. sending some information from one point to another. And images are one of the commonly used multimedia, because of the application in almost every field of engineering i.e. biomedical, astronomical, geological etc. To make communication fast and efficient with respect to images, compression is needed in each and every field. Idea behind the work is to reduce the size of image at transmitter end and after sending it to the receiver, regenerate it again to its original form. But to attain a measurable amount of compression, there are always some losses (compromise on resolution) at receiver end. The measure of efficiency of compression coding depends upon the balance between resolution and compression ratio of images. So aim of every coding scheme is to make a good trade-off between resolution and compression ratio so that we can achieve a fast communication with a good regenerated image at the receiver end.

For maintaining database system, the most important aspect is Compression. For which efficiency of compression system plays an important role. Now-a-days the optimization of bit stream is necessary to transfer the data in compressed manner. To achieve this objective the scheme used is embedded transmission. In embedded transmission the transmission of compressed low bit rate information is sent first then the higher bit rate information follows. The advantage of this scheme is if some information in the bit stream is not received, then using lower bit rate information corresponding to them can be decoded. Thus for these transmission scheme both the transmitting and encoding time are necessary. Thus for this objective we use Embedded zero tree wavelet (EZW) encoding technique for the compression & embedded transmission of images.The main objective of this paper is to implement & show how to improve EZW coding with reduced & improved execution time. Therefore by assuming most of the coefficients value present in the decomposed subband to be low and near to zero, present coding can be improved, as there is no need to check them again and again for significance.