Reduction of Interband Correlation for Landsat Image Compression

We present a lossless compressor for multispectral images that exploits interband correlations. Each band is divided into blocks, to which a wavelet transform is applied. The wavelet coefficients are predicted by means of a linear combination of coefficients belonging to the same orientation and spa...

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Bibliographic Details
Published inXVIII Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI'05) pp. 390 - 396
Main Authors Acevedo, D.G., Ruedin, A.M.C.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
Subjects
Entropy
Image coding
Image storage
Multispectral imaging
Remote sensing
Satellites
Testing
Transform coding
Wavelet coefficients
Wavelet transforms
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Summary:We present a lossless compressor for multispectral images that exploits interband correlations. Each band is divided into blocks, to which a wavelet transform is applied. The wavelet coefficients are predicted by means of a linear combination of coefficients belonging to the same orientation and spatial location. The prediction errors are then encoded with an entropy - based coder. Our original contributions are i) the inclusion, among the candidates for prediction, of coefficients of the same location from other spectral bands, ii) the calculation of weights tuned to the landscape being processed, iii) a fast block classification and a different band-ordering for each landscape. Our compressor reduces the size of an image to about a fourth of its original size. Our method is equivalent to LOCO-I, on 3 of the images tested it was superior. It is superior to other lossless compressors: WinZip, JPEG2000 and PNG.
ISBN:9780769523897
0769523897
ISSN:1530-1834
2377-5416
DOI:10.1109/SIBGRAPI.2005.43