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Edge-preserving hyperspectral image super-resolution reconstruction method and system

A technology of super-resolution reconstruction and hyperspectral image, applied in the field of hyperspectral image super-resolution, can solve the problems of loss of edge information, loss of edge information, etc., to achieve the effect of improving accuracy

Pending Publication Date: 2021-09-24
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] Aiming at the problem of edge information loss in the image super-resolution algorithm, the technical problem to be solved by the present invention is to overcome the defect of loss of edge information. The present invention provides an edge-preserving hyperspectral image super-resolution reconstruction method and system;

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  • Edge-preserving hyperspectral image super-resolution reconstruction method and system
  • Edge-preserving hyperspectral image super-resolution reconstruction method and system
  • Edge-preserving hyperspectral image super-resolution reconstruction method and system

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Embodiment 1

[0039] This embodiment provides an edge-preserving hyperspectral image super-resolution reconstruction method;

[0040] Edge-preserving hyperspectral image super-resolution reconstruction method, including:

[0041] S101: Acquire a low-resolution hyperspectral image to be processed;

[0042] S102: Preprocessing the low-resolution hyperspectral image to be processed to obtain a low-frequency component of the hyperspectral image;

[0043] S103: Perform gradient feature extraction on the low-frequency components of the hyperspectral image to obtain several feature image blocks;

[0044] S104: For each feature image block, search for k most similar feature image blocks from the auxiliary image set; wherein, k is a positive integer; weight and sum the k most similar feature image blocks to obtain an updated feature image block;

[0045] S105: Combine the adjacent blocks in the updated feature image block by weight to obtain the high-frequency components of the hyperspectral image...

Embodiment 2

[0111] This embodiment provides an edge-preserving hyperspectral image super-resolution reconstruction system;

[0112] Edge-preserving hyperspectral image super-resolution reconstruction system, including:

[0113] An acquisition module configured to: acquire a low-resolution hyperspectral image to be processed;

[0114] A preprocessing module configured to: perform preprocessing on the low-resolution hyperspectral image to be processed to obtain a low frequency component of the hyperspectral image;

[0115] The feature extraction module is configured to: perform gradient feature extraction on the low-frequency components of the hyperspectral image to obtain several feature image blocks;

[0116] The search module is configured to: for each feature image block, search for k most similar feature image blocks from the auxiliary image set; wherein, k is a positive integer; weight and sum the k most similar feature image blocks to obtain an updated The feature image block of ; ...

Embodiment 3

[0123] This embodiment also provides an electronic device, including: one or more processors, one or more memories, and one or more computer programs; wherein, the processor is connected to the memory, and the one or more computer programs are programmed Stored in the memory, when the electronic device is running, the processor executes one or more computer programs stored in the memory, so that the electronic device executes the method described in Embodiment 1 above.

[0124] It should be understood that in this embodiment, the processor can be a central processing unit CPU, and the processor can also be other general-purpose processors, digital signal processors DSP, application specific integrated circuits ASIC, off-the-shelf programmable gate array FPGA or other programmable logic devices , discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor, or the processor may be any conventional processor, o...

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Abstract

The invention discloses an edge-preserving hyperspectral image super-resolution reconstruction method and system. The method comprises the following steps of acquiring a to-be-processed low-resolution hyperspectral image; pre-processing the to-be-processed low-resolution hyperspectral image to obtain a low-frequency component of the hyperspectral image; performing gradient feature extraction on the low-frequency component of the hyperspectral image to obtain a plurality of feature image blocks; searching k closest feature image blocks from an auxiliary image set for each feature image block; performing weighted summation on the k closest feature image blocks to obtain the updated feature image blocks; weighting and combining the adjacent blocks in the updated feature image blocks together to obtain a high-frequency component of the hyperspectral image; and fusing the low-frequency component of the hyperspectral image and the high-frequency component of the hyperspectral image to obtain a reconstructed high-resolution hyperspectral image. By means of the auxiliary image set, the high-frequency information is reconstructed by adopting a neighborhood regression method, so that the edge information of the image is well maintained, and the precision of the reconstructed high-resolution hyperspectral image is improved.

Description

technical field [0001] The invention relates to the technical field of hyperspectral image super-resolution, in particular to an edge-preserving hyperspectral image super-resolution reconstruction method and system. Background technique [0002] The statements in this section merely mention the background technology related to the present invention and do not necessarily constitute the prior art. [0003] Hyperspectral image (HSI, Hyperspectral Image) can have as many as dozens or even hundreds of bands, with rich spatial texture information and rich spectral information, this feature makes it widely used in agriculture, medicine, military and remote sensing, etc. field. But limited by the hardware of the imaging system, HSI has low spatial resolution. This severely limits the further application and development of HSI, so hyperspectral image super-resolution has become one of the research hotspots in recent years. [0004] Hyperspectral image super-resolution is a techno...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06T5/50G06T7/13G06K9/46
CPCG06T3/4053G06T5/50G06T7/13G06T3/4007G06T2207/20192
Inventor 郭凤华张彩明
Owner SHANDONG UNIV
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