Image defogging method and system based on superpixel segmentation, storage medium and electronic equipment

A superpixel segmentation and superpixel technology, applied in the field of image processing, can solve problems such as transmittance map estimation error, and achieve a good dehazing effect.

Inactive Publication Date: 2019-11-08
SHENZHEN UNIV
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Problems solved by technology

Therefore, this method has the potential to introduce errors in the estimation of the transmittance map
[0034] In summary, the performance of existing image defogging methods still has a lot of room for improvement, and it is necessary to improve

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  • Image defogging method and system based on superpixel segmentation, storage medium and electronic equipment
  • Image defogging method and system based on superpixel segmentation, storage medium and electronic equipment
  • Image defogging method and system based on superpixel segmentation, storage medium and electronic equipment

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Embodiment Construction

[0100] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation manners of the present invention will now be described in detail with reference to the accompanying drawings.

[0101] Such as figure 1 As shown, in the first embodiment of the image defogging method based on superpixel segmentation of the present invention, including:

[0102] S1. Obtain the global atmospheric light value corresponding to the haze image, and segment the haze image through superpixel segmentation to obtain the superpixel set corresponding to the haze image; S2. Obtain the haze through a preset cost function based on the superpixel set The initial transmittance map corresponding to the image; S3, refine the initial transmittance map to obtain the target transmittance map; S4, obtain a clear image corresponding to the haze image according to the target transmittance map and the global atmospheric light value.

[...

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Abstract

The invention relates to an image defogging method and system based on superpixel segmentation, a storage medium and electronic equipment, and the method comprises the steps: S1, obtaining a global atmospheric light value corresponding to a haze image, and carrying out the segmentation of the haze image through superpixel segmentation, so as to obtain a superpixel set corresponding to the haze image; S2, obtaining an initial transmittance graph corresponding to the haze image through a preset cost function based on the superpixel set; S3, performing refinement processing on the initial transmissivity graph to obtain a target transmissivity graph; and S4, obtaining a clear image corresponding to the haze image according to the target transmissivity image and the global atmospheric light value. By implementing the method, a good defogging effect on a real haze image and a synthetic haze image data set can be achieved.

Description

technical field [0001] The present invention relates to the technical field of image processing, and more specifically, to an image defogging method, system, storage medium and electronic equipment based on superpixel segmentation. Background technique [0002] At present, the image defogging methods can be divided into two categories: the first category is the defogging method based on image enhancement, and the second category is the defogging method based on the physical model. [0003] The dehazing method based on image enhancement does not consider the principle of image degradation, does not establish a complex physical model, and directly uses conventional image enhancement technology to improve image characteristics such as contrast, color saturation, and clarity, and its dehazing effect is limited. [0004] The basic idea of ​​the dehazing method based on the physical model is to establish a physical model of image degradation in haze weather and restore the optical...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T7/10
CPCG06T5/003G06T5/009G06T2207/30192G06T7/10
Inventor 储颖游为麟罗国星朱泽轩
Owner SHENZHEN UNIV
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