Method for lossless and lossy hybrid compression of spectral bands of satellite-borne spectral image

A spectral image and hybrid compression technology, which is applied in the field of lossless and lossy hybrid compression of spectral images according to spectral segments, and the field of lossless and lossy hybrid compression of on-board spectral images. Compression, it is difficult to achieve the problem of not losing important spectral information, etc., to achieve the effect of fast compression, wide application range and high clock frequency

Active Publication Date: 2019-01-04
XIDIAN UNIV
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  • Abstract
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  • Application Information

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Problems solved by technology

However, there are still deficiencies that this method can only be applied to the entire image compression, and it is impossible to achieve mixed lossy and lossless compression of spectral images, and it is difficult to maintain important spectral information without losing the compression rate.

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  • Method for lossless and lossy hybrid compression of spectral bands of satellite-borne spectral image
  • Method for lossless and lossy hybrid compression of spectral bands of satellite-borne spectral image
  • Method for lossless and lossy hybrid compression of spectral bands of satellite-borne spectral image

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Embodiment 1

[0029] The current image compression method can only compress the entire spectral image, and cannot achieve lossy and lossless mixed compression of the spectral image. Therefore, the present invention conducts research on the above-mentioned problems, and proposes a lossless and lossy mixture of spectral segments of the spaceborne spectral image. The compression system and method not only ensure that important spectrum information is not lost, but also achieve a certain compression ratio, thereby realizing hybrid compression.

[0030] The present invention is firstly a lossless and lossy mixed compression system for the spectrum of space-borne spectral images, which is sequentially connected with an input module, a control module, a compression module and an output module according to the data flow direction, see image 3 , the compression module is a hybrid compression module. The hybrid compression module includes a lossy environment sub-module, a lossless environment sub-mod...

Embodiment 2

[0035] The overall composition of the lossless and lossy hybrid compression system for the spaceborne spectral image spectrum is the same as that of Embodiment 1, see Figure 4 , the lossy environment sub-module of the hybrid compression module in the present invention is sequentially connected with an initialization unit, a local gradient calculation and quantization unit, a merged gradient vector unit, a predicted current pixel and pixel correction unit, a residual calculation and quantization unit, and a context Parameter update unit and calculation Columbus parameter K unit. The lossless environment sub-module has the same structure as the lossy environment sub-module, in which the calculation parameters in the initialization unit, local gradient calculation and quantization unit, residual calculation and quantization unit, context parameter update unit and Columbus parameter K calculation unit are different, while The merged gradient vector unit, the predicted current pix...

Embodiment 3

[0040] The present invention is also a lossless and lossy hybrid compression method for the spectrum of a spaceborne spectral image, involving an input and output module, a control module and a compression module. Usually, a control signal is generated in the control module and input to the compression module. Realized on the lossless and lossy hybrid compression system for the spectral image bands onboard, the lossless and lossy hybrid compression system for the spectral image bands on the spaceborne spectral images is the same as that in Embodiment 1-2, see figure 1 , the compression module in the present invention is a hybrid compression module, and the lossless and lossy hybrid compression method of the spectrum of the spaceborne spectral image comprises the following steps:

[0041] Step 1, spectral image data and parameter input: the spaceborne spectral image data is input to the front-end buffer FIFO in the input module of the lossless hybrid compression system of the sp...

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Abstract

The invention discloses a system and a method for lossless and lossy hybrid compression of spectral bands of a satellite-borne spectral image, which solves the problem that compression ratio and important spectral bands information of the satellite-borne spectral image cannot be simultaneously guaranteed not to be lost. The method includes the steps of: inputting spectral image data and parameters; inputting data and control signals; performing variable initialization; performing local gradient calculation and quantification; combining gradient vectors; predicating the current pixel and pixelcorrection; performing residual Computation, quantization, remapping and pixel reconstruction; updating a hybrid compression module context parameter; calculating a Columbus code parameter k; performing lossy lossless hybrid Columbus coding; and outputting an image compression result. The invention performs improvement on the basis of JPEG_LS algorithm, realizes spectrum selective compression on spectrum image, lossless compression on appointed spectrum and lossy compression on other spectrum, ensures that important information is completely lossless, achieves a certain compression ratio, occupies less resources and has faster compression speed. The method has been used in the Mars reconnaissance spectrum analyzer.

Description

technical field [0001] The invention belongs to the technical field of spectral image processing, and further relates to lossless and lossy hybrid compression of spectral images according to spectral segments. Specifically, it is a lossless and lossy mixed compression method for spectrum segments of space-borne spectral images. It is used for lossless and near-lossless hybrid compression of different spectral segments of spectral images. Background technique [0002] JPEG-LS is a new lossless / near lossless compression standard for continuous tone still images, ISO-14495-1 / ITU-T.87. The core algorithm is LOCO-I (LOw Complexity Lossless Compression for Images). The LOCO-I algorithm can achieve similar or even better compression efficiency than many current compression algorithms based on arithmetic coding, while maintaining low complexity. [0003] The LOCO-I algorithm combines the simplicity of Huffman coding (relative to arithmetic coding) and the great compression potent...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/42H04N19/50H04N19/182G06T9/00
CPCG06T9/00G06T9/004H04N19/182H04N19/42H04N19/50
Inventor 刘凯刘伟张敏桐李云松王柯俨吴宪云
Owner XIDIAN UNIV
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