Set Partitioning in Hierarchical Trees (SPIHT)

A very effective and computationally simplest technique for image compression is Embedded Zerotree Wavelet(EZW)coding. here we defined an alternative principle of an operation of im principles are partial ordering by magnitude with a set partitioning sorting algorithm, ordered bit plane transmission, and exploitation of self-similarity across different scales of an image wavelet transform. We present a new and different implementation based on set partitioning in hierarchical trees(SPIHT),which provides better performance than Embedded Zerotree Wavelet. SPIHT algorithm is used for source coding of an image to be transmitted. The image coding result, calculated from actual size and images reconstructed by decoding algorithm. In addition, the new coding and decoding procedures are extremely fast, and they can be made