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Transplantation method of image defogging algorithm based on dark channel prior

A dark channel prior, dark channel technology, applied in the transplant field of image dehazing algorithm based on dark channel prior, can solve the problems of complex guided filtering, complex algorithm, etc., and achieve the effect of satisfying real-time performance

Pending Publication Date: 2021-10-22
HARBIN UNIV OF SCI & TECH
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  • Claims
  • Application Information

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Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that in the existing image defogging algorithm based on dark channel prior, the guide filter used when refining the light propagation map is too complicated and the algorithm is too complicated, and proposes a method based on dark channel prior Transplanting method of image defogging algorithm

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  • Transplantation method of image defogging algorithm based on dark channel prior
  • Transplantation method of image defogging algorithm based on dark channel prior
  • Transplantation method of image defogging algorithm based on dark channel prior

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specific Embodiment approach 1

[0048] A transplantation method of an image defogging algorithm based on dark channel prior in this embodiment, such as figure 1 The shown method flowchart, described method comprises the following steps,

[0049] Step 1. Obtain a color fog image with three channels of R, G, and B as an input image, and use CameraLink to input it to FPGA;

[0050] Step 2, the step of normalizing the color image with three channels of R, G, and B;

[0051] First, assuming that the atmospheric light value A is known, for the three channels R, G, and B of the simplified fog image imaging model, both sides of the equation are divided by the atmospheric light value A at the same time, and the result is expressed as:

[0052]

[0053] Step 3. Calculate the dark channel values ​​on both sides of the above formula:

[0054] Assuming that the transmittance t(x) is a constant in any local area, that is, the window Ω(x), it is denoted as Then calculate the dark channel value on both sides of the a...

specific Embodiment approach 2

[0074] Different from Embodiment 1, in this embodiment, a method for transplanting an image defogging algorithm based on dark channel prior, the FPGA of the FPGA-based vehicle-mounted real-time defogging system selects the EP4CE10F17C8 type of CycloneIV of Altera Company As the main control chip, the input adopts CameraLink input, the output adopts the DVI signal output generated by CH7301C, and the intermediate results are buffered by DDR SDRAM;

[0075] in,

[0076] (1) The CameraLink protocol is developed on the basis of the ChannelLink protocol proposed by National Semiconductor Corporation of the United States, and has now become a standard protocol for image and video data transmission. The ChannelLink protocol consists of a transmitter and a receiver. The transmitter receives a 28-bit single-ended data signal and a 1-bit single-ended clock signal, and then the data signal and the clock signal are converted into a set of 4-bit differential data streams by the transmitter...

specific Embodiment approach 3

[0080] The difference from the first or second specific embodiment is that in this embodiment, a method for transplanting an image defogging algorithm based on dark channel prior, the method further includes the following steps,

[0081] By setting a fixed threshold to correct the transmission method, the steps of color distortion correction for foggy images containing sky or white areas are as follows:

[0082] Since the sky or white area of ​​the foggy image is relatively bright, recording the sky or white area of ​​the foggy image shows a high peak characteristic on the gray histogram. Use this feature to find the adaptive threshold and segment the sky or white Wait for the bright area and non-bright area; after that, design an adaptive correction function to improve the atmospheric dissipation function of the image, and dehaze these areas respectively. So as to solve the problem that the color of the bright area is distorted and the overall contrast of the image is reduced...

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Abstract

The invention discloses a transplanting method of an image defogging algorithm based on dark channel prior, and belongs to the field of image defogging processing. In an existing image defogging algorithm based on dark channel prior, guiding filtering used when a light propagation graph is refined is too complex, and the algorithm is too complex. The method comprises the following steps: acquiring a color fog image with R, G and B channels as an input image, and inputting the input image to an FPGA (Field Programmable Gate Array) by adopting CameraLink; and performing normalization; calculating an atmospheric light value and transmissivity, carrying out inversion operation in the simplified foggy day image imaging model, recovering to obtain three channels R, G and B of the defogged image, and using t0 to limit the lower limit of a light propagation graph of the points; further refining the transmissivity, and recovering a fogless image; caching the intermediate result by adopting the DDRSDRAM; and adopting the DVI signal generated by the CH7301C to output a defogged video. According to the method, transplantation of the improved dark channel prior image defogging algorithm is realized in the FPGA, and the method has the advantage of simple calculation process.

Description

technical field [0001] The invention relates to a method for transplanting an image defogging algorithm based on dark channel prior. Background technique [0002] At present, in all image dehazing algorithms, the method based on image enhancement does not consider the physical degradation process of the foggy image, and only uses the existing and mature digital image processing technology to enhance the degraded image in the foggy weather processing to achieve the purpose of highlighting the edge details of the image and improving the overall contrast of the image. Although this type of method can improve the influence of foggy weather on images to a certain extent, because it does not take into account the physical degradation mechanism of foggy weather images, the result often has the problem of color distortion, and it is not suitable for images under dense fog conditions. Image defogging, so it is not widely applicable. The image defogging method based on the atmospher...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T7/90G06T5/40G06T1/20G06T1/60
CPCG06T7/90G06T5/40G06T1/20G06T1/60G06T5/73G06T5/70
Inventor 何召兰王帅
Owner HARBIN UNIV OF SCI & TECH
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