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A Local Retinex Enhancement Method Based on HSV Color Space

A color space and partial technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of enhancing uneven illumination images, etc., and achieve the effects of enhancing clarity, clarity, and contrast enhancement

Active Publication Date: 2017-12-05
DALIAN UNIV OF TECH
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Problems solved by technology

[0008] Paper title: Nonlinear Transfer Function-Based Local Approach for ColorImage Enhancement, Journal: IEEE Transactions on Consumer Electronics, Year: 2011, Issue 16, Page 858-865, proposed an image enhancement method based on HSV color space, First convert the image to the HSV color space, and then use a nonlinear conversion function to enhance the contrast of the V component (that is, the brightness component) without changing the S and H components of the image to preserve the color, which can effectively enhance the uneven illumination image. , but not suitable for foggy image processing

Method used

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  • A Local Retinex Enhancement Method Based on HSV Color Space
  • A Local Retinex Enhancement Method Based on HSV Color Space
  • A Local Retinex Enhancement Method Based on HSV Color Space

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Embodiment Construction

[0049] The present invention will be described in detail below in conjunction with specific embodiments and accompanying drawings.

[0050] A. Find the atomized image (see attached Figure 4 HSV three-channel components shown in (a). V component (see attached Figure 4 (shown in (b)) represents the brightness of the image, the range is [0-255], 0 represents black, 255 represents white; S component (see attached Figure 4 Shown in (c)) represents the saturation component of the image, and the range is between [0-1]. In order to display the image, each pixel is multiplied by 255.

[0051] B. Use the adaptive local Retienx enhancement algorithm to enhance the image, the flow diagram of the method is shown in the attachment figure 2 Shown:

[0052] B1, first select the number of image blocks, the small image selects a small number of blocks, and the large image has a large number of blocks; the size of the image is: 2627*1926mm, the selected number of blocks is 10*7, and the ...

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Abstract

The invention discloses a local Retinex dehazing method based on HSV color space, which can enhance the image with uneven fog distribution in foggy weather. The method of the present invention comprises the following steps: A. processing multi-level foggy images in different color spaces to realize image contrast enhancement and sharpness improvement; B. acquiring image size, adaptively judging the size of sub-block images, and detecting foggy images The brightness image of the sky image is divided into blocks; each sub-image of the brightness component is enhanced to improve the clarity of the image; C. Calculate the area scale factor of each pixel in each overlapping sub-image, and weight each overlapping sub-image The summation realizes image fusion; D. The saturation component of the image is processed to restore the color of the image; the invention can clearly and quickly restore the scene details of different levels, improve the visual effect of the image, and is suitable for aerial photography systems in different areas.

Description

technical field [0001] The invention belongs to the technical field of image information processing. The invention is a local Retinex defogging method based on HSV color space, which is suitable for enhancing fogged images taken under foggy weather. Background technique [0002] Many outdoor monitoring systems used by computers require the ability to accurately extract the features of the image. However, in weather conditions such as fog and haze, the acquired image is often seriously degraded due to the influence of the scattering of tiny particles in the atmosphere, which not only affects the quality of the image. Moreover, it interferes with the extraction of image features, making the outdoor monitoring system unable to operate normally, which brings serious security risks. Therefore, it is of great practical significance to use an effective and fast dehazing method to clear the fogged image. [0003] The existing image defogging methods are mainly divided into two cate...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T5/20
Inventor 王洪玉曹静
Owner DALIAN UNIV OF TECH
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