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Spectrum image processing method based on partition compressed sensing

A block-compressed sensing and spectral image technology, applied in the spectral image processing based on block-based compressed sensing, spectral image processing, can solve the problem of not being able to effectively use the intrinsic characteristics of spectral images

Inactive Publication Date: 2014-07-02
XIDIAN UNIV
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Problems solved by technology

However, block-compressed sensing technology cannot effectively utilize the inherent characteristics of spectral images, thereby further reducing the sampling cost of the sensor and improving the reconstruction quality of the image.

Method used

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  • Spectrum image processing method based on partition compressed sensing
  • Spectrum image processing method based on partition compressed sensing
  • Spectrum image processing method based on partition compressed sensing

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Embodiment Construction

[0030] The present invention is described in detail below with reference to accompanying drawing:

[0031] refer to figure 1 , the present invention is based on the spectral image processing method of block compressive sensing, comprises the following steps:

[0032] Step 1: Classify spectral images based on their spectral correlations.

[0033] refer to figure 2 , the specific implementation of this step is as follows:

[0034] 1a) Introduce the inter-spectral correlation coefficient and determine the correlation between different spectral segments according to it:

[0035] r i , j = Σ x = 1 M Σ y = 1 N ...

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Abstract

The invention discloses a spectrum image processing method based on partition compressed sensing. The method mainly solves the problems of traditional spectrum image processing methods that sampling cost is high and coding complexity is high. The method comprises the steps of conducting classification and difference operation on a spectrum image according to inter-spectrum correlation coefficients, conducting sampling by means of the partition compressed sensing technology, improving a traditional measurement matrix, and recovering the original spectrum image by means of the compressed sensing reconstitution algorithm. The method solves the problems of traditional spectrum image processing methods that sampling cost is high and coding complexity is high, and can effectively improve the reconstitution quality of the spectrum image under the condition that the sampling rate is unchanged.

Description

technical field [0001] The invention belongs to the field of image signal processing, and relates to a spectral image processing method, in particular to a spectral image processing method based on Block Compressive Sensing (BCS), which can effectively improve the spectral image under the same sampling rate. Refactor quality. Background technique [0002] Remote sensing images can provide people with a large amount of scientific data and dynamic information according to the spectral response characteristics of different ground objects, and have extremely high application value. However, unlike two-dimensional images, spectral images show three-dimensional characteristics, and the amount of data is very large. [0003] In the traditional image processing process, compression occurs after the data has been completely collected. On the one hand, it increases the complexity of the system, and on the other hand, it wastes a lot of sampling resources. As an emerging technology w...

Claims

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Application Information

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IPC IPC(8): G06T7/00
Inventor 肖嵩牛惠权磊杜建超
Owner XIDIAN UNIV
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