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Atmospheric disturbance image recovering method based on variation regularization

An atmospheric disturbance and image restoration technology, applied in the field of image processing, can solve the problem of low denoising performance

Inactive Publication Date: 2015-10-14
XIAMEN UNIV
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Problems solved by technology

As we all know, the denoising method based on time axis averaging is not high in denoising performance.

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  • Atmospheric disturbance image recovering method based on variation regularization
  • Atmospheric disturbance image recovering method based on variation regularization
  • Atmospheric disturbance image recovering method based on variation regularization

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Embodiment Construction

[0066] see figure 1 , the embodiment of the present invention includes two parts: generation and optimization of reference images and registration and fusion of video frames.

[0067] 1. Generation and optimization of reference images:

[0068] Step 1, obtain the disturbed video frame sequence.

[0069] Download a long-distance video of a fixed target from the Internet, or use simulation software for a clear picture to generate a sequence of distorted frames with a disturbance effect added. Thus we get the initial frame sequence {f i}.

[0070] Step 2, get the initial reference image.

[0071] (2a) For the initial frame sequence {f i}, each frame f i Both use a vector g i said g i is of length f i the number of pixels. In this way we can use the matrix G=[g 1 , g 2 ,..., g n ] means {f i}, where n is the number of video frames. Perform low-rank decomposition on G to obtain the low-rank part L of G. L is also a matrix of size n*m, average each column of L, and re...

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Abstract

An atmospheric disturbance image recovering method based on variation regularization relates to image processing. The atmospheric disturbance image recovering method comprises: acquiring a video frame subjected to atmospheric interference of a fixed target or carrying out additional simulated disturbance on one picture by using simulation software to generate one group of video frame; carrying out low-rank decomposition on the video frame to obtain an initial reference image; optimizing the reference image by using an optimization model based on a non-partial total variation regular term and a controllable kernel regression regular term, and accelerating the optimization process by using a separated Bregman algorithm; carrying out B spline interpolation registering on the video frame by using an optimized reference image to obtain a registered video frame; using space weighted nuclear norm minimization to fuse the registered video frame to form a near diffraction limit picture; and carrying out deconvolution processing on the near diffraction limit picture to obtain the picture which is finally deblurred and has no noises. By virtue of the atmospheric disturbance image recovering method, the disturbance removing result is improved and a recovered image with clear vision and abundant details is obtained, so that the atmospheric disturbance image recovering method can be used for observing lands in the air, remotely monitoring and the like.

Description

technical field [0001] The invention relates to image processing, in particular to an atmospheric disturbance image restoration method based on variational regularization which can be used for high-altitude earth observation and long-distance monitoring. Background technique [0002] With the development of society and the advancement of science and technology, more and more ground monitoring equipment is used. Technologies such as unmanned aerial vehicles, high-altitude earth observation and long-distance monitoring have received widespread attention. The difference from ordinary shooting behavior is that in long-distance shooting, the distance between the shooting target and the shooting equipment is relatively long, and the shooting effect is easily affected by atmospheric disturbance, which seriously affects the shooting effect. This kind of disturbance cannot be removed by improving the hardware equipment. Therefore, it is very important to use some algorithms to remov...

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Application Information

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IPC IPC(8): G06T5/00
Inventor 曲延云吴伟伟谢源
Owner XIAMEN UNIV
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