Method for compressing high spectrum image

A technology of hyperspectral image and compression method, which is applied in the field of hyperspectral image compression, and can solve problems such as loss of image information.

Inactive Publication Date: 2011-08-17
HARBIN INST OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a hyperspectral image compression method to solve the problem that the lossy compression in the prior art cannot prevent the image information of a specific area or a specific target from being lost
[0005] Since the present invention compresses the spatial information of interest and the spectral information of interest losslessly or nearly losslessly, and compresses other information with a larger compression ratio, it solves the problem that the lossy compression of the prior art cannot make specific areas or specific targets Image Information Free from Loss Problems

Method used

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  • Method for compressing high spectrum image
  • Method for compressing high spectrum image

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specific Embodiment approach 1

[0007] Embodiment 1: The technical solution of this embodiment is as follows: a hyperspectral image compression method, which performs hierarchical compression processing on the image to be compressed, lossless or near lossless compression of the spatial information of interest and spectral information of interest, and other information A compression greater than a selected compression ratio for the spatial information of interest and the spectral information of interest is performed.

specific Embodiment approach 2

[0008] Embodiment 2: Compared with Embodiment 1, this embodiment is characterized in that: during the compression process of the spatial information of interest, a spatial region is selected through a template, and the region will be given priority coding during the compression process, thereby ensuring that the region The reconstruction quality of the image.

[0009] Hyperspectral images are different from ordinary images. They are not only for human vision, but also for some special applications. Therefore, the protection of target information is particularly important.

[0010] For hyperspectral image applications, not all the information contained in the entire image is equally important, and often only the information in some areas is important. For example, some specific targets need to be protected, which is the so-called region of interest ROI. In the process of compressing hyperspectral images, some targets can be selected artificially or automatically as the region ...

specific Embodiment approach 3

[0011] Specific embodiment three: the characteristics of this embodiment compared with embodiment one are: the steps of compressing the spectral information of the spectral band of interest are as follows: 1. Select the spectral band of interest to the hyperspectral image; simultaneously determine the reference spectral band and Non-reference spectral band; 2. Use the reference spectral band to perform in-band compression on the selected spectral band of interest to generate an image bit stream; meanwhile use the non-reference spectral band to perform in-band reconstruction on the selected spectral band of interest; 3. Input the information that has been reconstructed in the band in step 2 into the predictor to calculate the prediction coefficient; 4. Use the prediction coefficient obtained in step 3 and the non-reference band to calculate the prediction error; 5. Use the prediction error obtained in step 4 to calculate the non- The reference spectral band is compressed in-band...

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Abstract

The invention relates to a method for compressing an image, in particular to a method for compressing a high spectrum image. The method solves the problem that the lossless compression in the prior art cannot make a specific region or the image information of the specific region free from loss. The method is used for compressing an image. The method is characterized by comprising the following steps of: carrying out grade compression processing on an image to be compressed; carrying out lossless or nearly lossless compression on interested space information and interested spectral information; and compressing other information in which the compression rate is greater than that of the interested space information to the interested spectral information.

Description

technical field [0001] The invention relates to an image compression method, in particular to a hyperspectral image compression method. Background technique [0002] As a new type of remote sensing method, hyperspectral images (images with about 200 bands) can realize the simultaneous acquisition of spatial information and spectral information of ground objects. has been applied. However, the increase of spectral information makes hyperspectral images have the disadvantage of large data volume, which brings disadvantages to data storage and transmission. Therefore, hyperspectral image compression is imperative. [0003] In the field of image compression, there are many direct lossy compression methods, but due to the particularity of remote sensing image applications, although direct lossy compression can achieve a higher compression ratio, the result cannot fully meet the special application requirements of remote sensing images. Sometimes people need to protect the imag...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T9/00G01S17/89
Inventor 陈雨时王丹龚小川
Owner HARBIN INST OF TECH
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