Journal ArticleDOI
Practical transform coding of multispectral imagery
TLDR
An implementable three dimensional terrain adaptive transform based bandwidth compression technique for multispectral imagery based on Karhunen-Loeve transformation followed by the standard JPEG algorithm for coding the resulting spectrally decorrelated eigen images.Abstract:Â
We present an implementable three dimensional terrain adaptive transform based bandwidth compression technique for multispectral imagery. The algorithm exploits the inherent spectral and spatial correlations in the data. The compression technique is based on Karhunen-Loeve transformation for spectral decorrelation followed by the standard JPEG algorithm for coding the resulting spectrally decorrelated eigen images. The algorithm is conveniently parameterized to accommodate reconstructed image fidelities ranging from near-lossless at about 5:1 CR to visually lossy beginning at about 30:1 CR. The novelty of this technique lies in its unique capability to adaptively vary the characteristics of the spectral correlation transformation as a function of the variation of the local terrain. The spectral and spatial modularity of the algorithm architecture allows the JPEG to be replaced by a alternate spatial coding procedure. The significant practical advantage of this proposed approach is that it is based on the standard and highly developed JPEG compression technology. >read more
Citations
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Distance metrics and band selection in hyperspectral processing with applications to material identification and spectral libraries
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Technical overview of VP8, an open source video codec for the web
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Compression of multispectral images by three-dimensional SPIHT algorithm
TL;DR: The authors carry out low bit-rate compression of multispectral images by means of the Said and Pearlman's SPIHT algorithm, suitably modified to take into account the interband dependencies.
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Transform Coding Techniques for Lossy Hyperspectral Data Compression
TL;DR: It is shown that the scheme based on the proposed low-complexity KLT significantly outperforms previous schemes as to rate-distortion performance, and an evaluation framework based on both reconstruction fidelity and impact on image exploitation is introduced.
Journal ArticleDOI
A critical evaluation of image and video indexing techniques in the compressed domain
TL;DR: A critical review of the compressed domain indexing techniques proposed in the literature, which include transform domain techniques using Fourier transform, cosine transform, Karhunen–Loeve transform, Subbands and wavelets, and spatialdomain techniques using vector quantization and fractals are discussed.
References
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Feature predictive vector quantization of multispectral images
S. Gupta,Allen Gersho +1 more
TL;DR: A compression method for multispectral data sets is proposed where a small subset of image bands is initially vector quantized and the remaining bands are predicted from the quantized images.
Proceedings ArticleDOI
Multispectral KLT-wavelet data compression for Landsat thematic mapper images
TL;DR: A methodology that enhances the compression of Landsat thematic mapper (TM) multispectral imagery, while reducing the image information loss is reported, quite suitable for rapid browsing applications where small amounts of image loss are tolerable.
Journal ArticleDOI
Near-lossless bandwidth compression for radiometric data
John A. Saghri,Andrew G. Tescher +1 more
TL;DR: A bandwidth compression scheme suitable for transmission of radiometric data collected bytoday's sensitive and high-resolution sensors is presented, which readily provides some feature classification capability, such as cloud typing, through the interpretation of KL-transformed images.