Method for lossy compression of hyperspectral image based on classified DCT (discrete cosine transform)

A discrete cosine transform, hyperspectral image technology, applied in the field of image processing, can solve the problem of inaccurate spectral vector classification, and achieve the effect of strong correlation, improved accuracy, and small spectral vector residual error.

Active Publication Date: 2015-05-20
XIDIAN UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to solve the problem of inaccurate classification of spectral vectors when the compression algorithm based on classification residual DCT transforms between spectra, and proposes a hy

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  • Method for lossy compression of hyperspectral image based on classified DCT (discrete cosine transform)
  • Method for lossy compression of hyperspectral image based on classified DCT (discrete cosine transform)
  • Method for lossy compression of hyperspectral image based on classified DCT (discrete cosine transform)

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[0018] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0019] refer to figure 1 , the implementation steps of the present invention are as follows:

[0020] Step 1, input hyperspectral image.

[0021] Input a hyperspectral image {W with the total number of spectral segments Y, width W, and height H 1 ,W 2 ,...,W y ,...,W Y}, where W y ={I 1,1,y , I 1,2,y ,...,I i,j,y ,...,I H,W,y} represents the image of the yth spectral segment, I i,j,y Represents the real pixel gray value of the yth spectral segment, the ith row, and the jth column in the hyperspectral image, i=1,2,...,H,j=1,2,...,W,y=1,2, ..., Y;

[0022] Step 2, group the input hyperspectral images.

[0023] The input hyperspectral image {W 1 ,W 2 ,...,W k ,...,W Y} are equally divided into N groups, and the grouped hyperspectral images are obtained, and each group uses {W 1 ,W 2 ,...,W k ,...,W P} means, denoted as where W k ={I 1,1,...

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Abstract

The invention discloses a method for lossy compression of a hyperspectral image based on classified DCT (discrete cosine transform), which mainly solves the problems of incomplete compression decorrelation and poor compression effect because the spectrum vector correlation is not considered in the spectral transformation of the prior art. The method comprises the following steps of (1) performing the space two-dimensional wavelet transform on the hyperspectral image; (2) utilizing a classifying algorithm based on spectrum vector characteristics to classify the spectrum vectors consisting of space wavelet transform coefficients, obtaining a classification graph, and subtracting the average vector from each type of spectrum vector according to the classification graph, so as to obtain a residual vector; (3) utilizing the spectral one-dimensional DCT to transform the residual vector, so as to obtain a three-dimensional transform coefficient; (4) encoding the three-dimensional transform coefficient, so as to obtain a compression code stream with accurate and controllable code rates. The method has the advantages that the statistic property between the spectrums of the hyperspectral image is sufficiently utilized, the decorrelation is more thorough, the better compression property is obtained at the same code rate, and the method can be used for hyperspectral data treatment and transmission.

Description

technical field [0001] The present invention relates to the technical field of image processing, and further relates to a hyperspectral image lossy encoding method, which can be used for various hyperspectral data processing and transmission. Background technique [0002] Hyperspectral images are three-dimensional data cubes that contain both spatial information and spectral information and are obtained by imaging spectrometers on hundreds of spectral bands of the same ground feature. They are widely used in resource exploration, target recognition, and environmental protection. Due to the huge amount of hyperspectral image data, effective compression techniques are required for image storage and transmission. Especially in the spaceborne hyperspectral image compression system, due to the limitation of the satellite channel bandwidth, it is difficult to transmit such a large amount of data in real time, so the hyperspectral image is often lossy compressed. [0003] Among th...

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Application Information

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IPC IPC(8): H04N19/625H04N19/63
Inventor 王柯俨胡子帆李云松张静葛驰汝郭杰韩冉
Owner XIDIAN UNIV
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