Title :
Coding of spectrally homogeneous regions in multispectral image compression
Author :
Fernandez, George ; Wittenbrink, Craig M.
Author_Institution :
Signal Process. Lab., Swiss Federal Inst. of Technol., Lausanne, Switzerland
Abstract :
In this paper we present a new approach in the compression of multispectral images. It is based on the merging of two processing tools, namely Karhunen-Loeve transform (KLT) as a spectral decorrelator, and object based image coding schemes. The potential use of the principal components analysis in multispectral imagery is described and it is used to perform a multispectral segmentation. This segmentation is taken as the basis for a specific spectral decorrelation for each segmented class. The resulting eigen images present lower variance than those obtained with classical KLT approaches. Each of the eigen regions is coded spatially using a shape adaptive DCT algorithm. The method outperforms non-region multispectral KLT+DCT schemes as well as JPEG, while adding region based functionalities
Keywords :
adaptive codes; data compression; discrete cosine transforms; eigenvalues and eigenfunctions; image coding; image segmentation; spectral analysis; transform coding; transforms; Karhunen-Loeve transform; coding; eigen images; eigen regions; image compression; multispectral images; multispectral segmentation; object based image coding schemes; principal components analysis; region based functionalities; shape adaptive DCT algorithm; spectral decorrelator; spectrally homogeneous regions; variance; Covariance matrix; Decorrelation; Eigenvalues and eigenfunctions; Image coding; Image processing; Image reconstruction; Image segmentation; Karhunen-Loeve transforms; Multispectral imaging; Signal processing algorithms;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.561055
