And color images contain lot of data redundancy and require a large amount of storage space. In multimedia application, most of the images are in color. The files that comprise these images, however, can be quite large and can quickly take up precious memory space on the computer’s hard drive. With the advent of digital cameras, one of the most common uses has been the storage, manipulation, and transfer of digital images. In recent years there has been an astronomical increase in the usage of computers for a variety of tasks. Discrete wavelet transform (DWT) based Set Partitioning in Hierarchical Trees (SPIHT) algorithm is widely used in many image compression systems. Set Partitioning in Hierarchical Trees (SPIHT) is the DWT-based image compression algorithm which is more powerful, efficient and more popular, due to the properties of fast computation, low memory requirement. DWT has been adopted as a new technical standard for still image compression. Discrete Wavelet Transform (DWT) based image compression has been paid much attention in the past decades. Hence, image compression is necessary to reduce the amount of data required to represent digital image. Image data requires huge amount of disk space and large bandwidths for transmission. Image compression is one of the important applications in data compression on its image.
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