Huge amounts of data of hyperspectral images have become a great challenge to data storage and transmission.Due to the special way to obtain hyperspectral images

they are costly

but this kind of image can be used extensively in the meantime.Any information shouldn't be lost during compression

so an efficient lossless compression method seems to be essential.Without an efficient compression scheme

the application of hyperspectral images will be restricted.Trellis coded quantization(TCQ) inherits ideas from trellis coded modulation(TCM) the expanded signal set

set partitioning and trellis state transition.The mean squared error(MSE) performance of TCQ is excellent with modest computing complexity.At present TCQ is mainly used for lossy image compression.In this paper

we aim to develop TCQ scheme to compress hyperspectral images losslessly and find a new approach yielding higher lossless compression ratio.We take advantage of the characteristics of hyperspectral data for compression.A scheme utilizing wavelet transformation and TCQ is presented.Compared with the result of JPEG2000 and JPEG-LS

experiments show that the method presented in this paper has better performance.