Multispectral Images Compression Based on JPEG2000

Multispectral image compression which are based on the one-, two- and three-dimensional wavelet transforms has been existed in many papers. Existing image compression algorithms have proved to be very efficient in compressing these kinds of images. We adopted the principal component analysis,clustering and spectral angle cosine to classify and compress in spectral dimension.In this article, we present lossy compression based wavelet; the information loss is measured by Peak-Signal-to-Noise Ratio (PSNR). We introduce the spatial compression based on JPEG2000 and improved embedded zerotree (EZW) encoding. We use the different compression rate to compress image, when the compression rate is 10:1, subjective value and object value is optimal. Not only the single band, but also the composing image, the spectral curve is nearly same.