Video smoke removal method and system based on non-local dark channel
A dark channel, non-local technology, applied in image enhancement, instrumentation, computing, etc., can solve the problems of not considering the similarity information of the dark channel of the image, the loss of texture detail information of the background image, and not being removed, so as to improve the effect and image Restoring the quality of the effect
Pending Publication Date: 2022-08-05
HUAIYIN INSTITUTE OF TECHNOLOGY
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[0004] Although these methods can remove the influence of smoke to a certain extent and restore the background image information, they do not consider the prior similarity information of the dark channel of the image, so that some smoke remains and is not removed, and the processed background image will be lost. drop texture details
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[0082] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solutions of the present invention more clearly, and cannot be used to limit the protection scope of the present invention.
[0083] The present invention provides a method and system for removing smoke from video based on a non-local dark channel,
[0084] The system includes: a video image acquisition module for acquiring video images to be processed; a model building module for establishing a non-local dark channel video smoke removal model; a model solving module for solving the model established by the model building module, and obtaining the Image after smoke.
[0085] The video smoke removal method based on the non-local dark channel corresponding to the system includes the following steps:
[0086] Step 1: the video image acquisition module acquires the video image to be processed;
[0087] Step ...
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The invention relates to the technical field of video image processing, and discloses a video smog removal method and system based on a non-local dark channel, and the method comprises the steps: 1, obtaining a to-be-processed video image; 2, constructing a non-local dark channel video smog removal model, solving a foggy image and a background image in one model, considering local dark channel prior knowledge and similarity of dark channel prior in the whole image, and integrating local information and non-local information of the dark channel prior to consider, so as to obtain a non-local dark channel video smog removal model; according to the existing dark channel prior, an error between the obtained dark channel prior and the clear image dark channel prior is considered; and step 3, solving the non-local dark channel video de-smog model in the step 2 to obtain a de-smog image. Compared with the prior art, an existing dark channel prior method is improved, and the image smog removing effect and the image recovery quality are effectively improved.
Description
technical field [0001] The invention relates to the technical field of video image processing, in particular to a method and system for removing smoke from video based on a non-local dark channel. Background technique [0002] At present, the development of economy has promoted the increase of urbanization rate. With the increase of urban population, urban buildings have developed from traditional multi-storey buildings to high-rise buildings. According to statistics, the number of buildings over 100 meters in my country currently ranks first in the world. The process of urbanization promotes social development, but also brings potential dangers, such as fire. Due to its particularity, fire in high-rise buildings makes fire rescue more difficult. The main reason is that the existing fire-fighting equipment can only operate in a space of 50 meters above the ground. When the height of the building exceeds 50 meters, the existing equipment cannot. Quick search and rescue of ...
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IPC IPC(8): G06T5/00
CPCG06T2207/10016G06T2207/10024G06T5/73
Inventor 陈华松吴静张琦杜蒙瑞李晶袁林阳陈怡琳王君豪
Owner HUAIYIN INSTITUTE OF TECHNOLOGY