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Image defogging method based on biological vision mechanism

A biological vision and image technology, applied in the field of image processing, can solve the problems of difficult selection of filter parameters of Retinex algorithm, loss of local detail information, and high computational cost of homomorphic filtering.

Active Publication Date: 2016-06-08
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

These algorithms can achieve the effect of image defogging to a certain extent, but they all have their own limitations. For example, the histogram equalization will cause the loss of local detail information, the calculation cost of homomorphic filtering is large, and the selection of filter parameters of the Retinex algorithm is difficult. The scene depth estimation algorithm needs multiple images to estimate the depth information, and the dark channel prior algorithm needs to satisfy the prior assumption

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Embodiment Construction

[0040] Based on the human visual cognition mechanism, the present invention proposes an image defogging method that simulates a non-classical receptive field, which can maintain details and at the same time achieve fast defogging enhancement for a single image without a priori. In the visual system, individual visual neurons respond to stimuli within a specific region of the visual field, known as the neuron's receptive field. Outside of this region, there exists a larger non-classical receptive field that influences neuronal responses. The receptive field of the retina has a structure around the center, and there is a large-scale disinhibited area composed of multiple subregions in the periphery, which inhibits the inhibition of the periphery to the center, which is neither a classical receptive field (such as figure 1 shown).

[0041] The perception of color starts from the three types of cone cells corresponding to the three primary colors of red, green, and blue: L, M, an...

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Abstract

The invention discloses an image defogging method based on a biological vision mechanism. The diffusion illumination of a foggy image is removed through a non-classic receptive field single antagonism model and interaction of the inhibiting effect of the periphery under different sensitivity coefficients and the disinhibition effect of a subregion, the degree of color contrast of an original image is increased, and the foggy image can be automatically enhanced. A method conforming to the physiological property is provided, and the color defogging and enhancing of the single foggy color image are accurately and efficiency achieved while the detail features are reserved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to color image enhancement technology, in particular to an image defogging enhancement method based on retinal non-classical receptive field vision mechanism. Background technique [0002] With the continuous development of information technology, computer vision equipment is more and more widely used in different fields. In practical applications, due to the influence of environment, system and human factors, the image obtained by the sensor will be more or less degraded to a certain extent. Among them, because the sensor design usually does not consider the weather effect, the image degradation is particularly serious in the haze environment. Therefore, how to dehaze and enhance the high-brightness and low-contrast foggy images acquired by the sensor in the haze environment has very important practical significance. [0003] At present, image dehazing mainly includes two ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 张显石李永杰李朝义
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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