Abstract—Satellites gather information from different sensors and send it using a temporal connection with very limited bandwidth. The bandwidth demand can be highly reduced, if the satellite preprocess the data and only sends relevant information. We focus on techniques that exploit spectral information exclusively to make decisions regarding the type of each-pixel-target or non target on a pixel-by-pixel basis in an image. Image data containing both spatial and spectral information and this information can be used to address such detection tasks. Image compression as one of the key enabling technologies in multimedia communications, which has been paid much attention in the past decades where the too key techniques like Discrete Wavelet Transforms (DWT) and Set Partitioning In Hierarchical Trees (SPIHT) have great influence on its final performance. Owe to the properties of fast computation, low memory requirement, DWT has been adopted as a new technical standard for still image compression. Further more, the traditional SPHIT algorithm has the drawbacks of long bits output and time consuming. In this paper, we propose a new technique named direction-adaptive lifting DWT. Then a modified SPHIT coding algorithm is present. It improves the scanning process and can effectively reduce the scaling bits length and running times.

Index Terms—Discrete wavelet transforms, Set partition in hierarchical tree

Cite: S Vasuki and S Kala, "IMPROVEMENT OF HYPERSPECTRAL IMAGE COMPRESSION AND DECOMPRESSION BASED ON WAVELET AND MODIFIED SPIHT IN MULTIMEDIA COMMUNICATIONS," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 1, No. 1, pp. 43-53, October 2012.