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High-resolution image defogging method based on down-sampling

A high-resolution image and image technology, applied in the information field, can solve the problems of large amount of high-resolution image data, time-consuming, and operation speed that cannot meet the actual application requirements, and achieve reduction in operation scale, time complexity, and retention The effect of the fog removal effect

Inactive Publication Date: 2018-01-19
ZHEJIANG UNIV OF TECH
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Problems solved by technology

However, the high-resolution images captured by high-definition cameras have a large amount of data, and the defogging process takes a long time. The calculation speed of the existing image defogging algorithms cannot meet the actual application requirements in the industry.

Method used

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Embodiment Construction

[0040] The technical scheme of the present invention will be further explained below in conjunction with the drawings.

[0041] The main steps of the high-resolution image defogging method based on downsampling are as follows figure 1 Shown.

[0042] Step 1. Evaluation of transmittance map based on compressed sampling;

[0043] From the perspective of reducing the scale of operations, this method evaluates the transmittance map by downsampling. Considering that the image needs to be turned into image blocks when calculating the dark channel, the black area has traces of expansion, and a little bit of accuracy is appropriately reduced, which will not have a great impact on the dehazing effect.

[0044] The specific steps for evaluating the transmittance map based on compressed sampling are as follows:

[0045] (1) Use the nearest neighbor interpolation method to down-sample the input image to find the down-sampled image I. The value of the pixel to be determined is equal to the value o...

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Abstract

The invention discloses a high-resolution image defogging method based on down-sampling. The method comprises the following steps: step 1, transmissivity graph evaluation based on compressed sampling;step 2, transmissivity distribution optimization processing; step 3, transmissivity up-sampling; and step 4, scattering scene recovery. According to the method, firstly, down-sampling is carried outon an original image, a down-sampled image is utilized to calculate a dark channel graph, then a transmissivity graph is calculated according to a modified atmospheric scattering model formula, then nearest neighbor interpolation is used to magnify the lossy transmissivity graph to an original size, and finally, sharpening processing is carried out on the fog image according to an atmospheric scattering model. Real-time defogging of the high-resolution image can be realized on the basis of maintaining a better defogging effect.

Description

Technical field [0001] The present invention belongs to the field of information technology. Background technique [0002] With the development of security technology and the increase of network bandwidth, high-definition cameras have been widely used in many fields, such as highways, urban roads, navigation, and aerial photography. In recent years, developing countries such as China have often suffered from severe weather such as haze. Under such extreme weather conditions, high-definition cameras will be affected by small solid particles and droplets in the atmosphere, and the captured images often lose main information. , Resulting in the high-definition camera unable to capture clear images. This is because suspended particles will scatter the light, attenuate the light reflected by the scene, and at the same time the scattered ambient light is mixed into the light received by the observation, so that the contrast, color and other characteristics of the image will change. T...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T3/40
Inventor 董天阳朱浩楠范菁杨丽锦
Owner ZHEJIANG UNIV OF TECH
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