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Remotely sensed image compression based on wavelet transformIn this paper, we present an image compression algorithm that is capable of significantly reducing the vast amount of information contained in multispectral images. The developed algorithm exploits the spectral and spatial correlations found in multispectral images. The scheme encodes the difference between images after contrast/brightness equalization to remove the spectral redundancy, and utilizes a two-dimensional wavelet transform to remove the spatial redundancy. the transformed images are then encoded by Hilbert-curve scanning and run-length-encoding, followed by Huffman coding. We also present the performance of the proposed algorithm with the LANDSAT MultiSpectral Scanner data. The loss of information is evaluated by PSNR (peak signal to noise ratio) and classification capability.
Document ID
19960008283
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Kim, Seong W.
(Korea Advanced Inst. of Science and Technology Taejon, Republic Of Korea)
Lee, Heung K.
(Korea Advanced Inst. of Science and Technology Taejon, Republic Of Korea)
Kim, Kyung S.
(Korea Advanced Inst. of Science and Technology Taejon, Republic Of Korea)
Choi, Soon D.
(Korea Advanced Inst. of Science and Technology Taejon, Republic Of Korea)
Date Acquired
September 6, 2013
Publication Date
October 1, 1995
Publication Information
Publication: NASA. Goddard Space Flight Center, The 1995 Science Information Management and Data Compression Workshop
Subject Category
Computer Programming And Software
Accession Number
96N15449
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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