A method of remote sensing image deblurring based on dark channel

A remote sensing image and deblurring technology, applied in the field of image processing, can solve the problems of non-blind processing transition deblurring method PSF kernel value estimation is inaccurate, does not consider the characteristics of remote sensing imaging, etc., to solve the problem of PSF kernel value estimation inaccurate, high High level of visual comprehension and high degree of automatic processing

Active Publication Date: 2019-02-01
BEIJING RES INST OF SPATIAL MECHANICAL & ELECTRICAL TECH
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Problems solved by technology

[0009] The technical problem solved by the present invention is: in the current prior art, in the process of repairing large-scale fuzzy remote sensing images combined with imaging parameter conditions, non-blind processing transitions that are prone to occur, and the PSF kernel value estimation of the deblurring method is not accurate and relies too much on Conditions do not consider the characteristics of remote sensing imaging, and propose a remote sensing image deblurring method based on dark channels

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  • A method of remote sensing image deblurring based on dark channel
  • A method of remote sensing image deblurring based on dark channel
  • A method of remote sensing image deblurring based on dark channel

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[0046] A remote sensing image deblurring method based on dark channel, such as figure 1 As shown, the specific steps are as follows:

[0047] (1) Select a fuzzy image I with a certain surface object from the satellite image data of the in-orbit image fuzzy phenomenon blur As the image to be processed, the fuzzy image I with certain features is selected blur The weather in the selected area must be sunny, and the atmospheric transmittance should not be lower than 0.6;

[0048] (2) Set the upper limit k of the fuzzy kernel of the remote sensing satellite image max is a fixed value, and at the same time for the blurred image I blur Carry out image block, to fuzzy image I blur The specific method for image segmentation is as follows:

[0049] For blurred images I blur Perform image block processing from bottom to top, from top to bottom, from left to right, and from right to left, where the size of the block processing is set to d h × d v ,Such as figure 2 As shown, the ...

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Abstract

A remote sensing image deblurring method based on dark channel is disclosed, For large-scale fuzzy remote sensing images, combined imaging parameter condition, the shortcomings of the prior dark channel methods in remote sensing images are corrected, It overcomes the difficulties of blur kernel estimation and result smoothing, and does not depend on the specific image features. At the same time, the deblurring results keep the geometric structure information in the image, improve the visual understanding level, give attention to the production requirements of remote sensing images, and processlarge-scale remote sensing images stably and reliably.

Description

technical field [0001] The invention relates to a dark channel-based remote sensing image deblurring method, which belongs to the field of image processing. Background technique [0002] Due to atmospheric effects, platform jitter and / or the mismatch between integration time and satellite flight speed, the images acquired by remote sensing cameras are blurred to varying degrees, especially when the imaging system reaches the end of periodic calibration. obvious. Blurring effects can degrade the image quality, greatly affecting the user's visual interpretation ability and expert interpretation results. The image results after deblurring can support the restoration of observation information in the case of poor weather or bad viewing angles, and can be used in special imaging occasions such as major disaster observations. Therefore, how to remove image blur has become the focus of research in the past few decades. [0003] For a long time, researchers have attributed the pr...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T7/10G06T3/40
CPCG06T3/4038G06T5/003G06T2207/10032G06T2207/20021G06T7/10
Inventor 曹世翔谭伟邢坤何红艳
Owner BEIJING RES INST OF SPATIAL MECHANICAL & ELECTRICAL TECH
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