Local Retinex enhancement algorithm based on HSV color spaces

A color space and algorithm technology, applied in image enhancement, calculation, image data processing and other directions, can solve problems such as unevenness and enhanced illumination, and achieve the effect of image contrast enhancement and sharpness enhancement

Active Publication Date: 2015-04-22
DALIAN UNIV OF TECH
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Problems solved by technology

[0008] Paper Title: Nonlinear Transfer Function-Based Local Approach for Color Image 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

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  • Local Retinex enhancement algorithm based on HSV color spaces
  • Local Retinex enhancement algorithm based on HSV color spaces
  • Local Retinex enhancement algorithm based on HSV color spaces

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Embodiment Construction

[0048] The present invention will be described in detail below in conjunction with specific embodiments and accompanying drawings.

[0049] 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.

[0050] 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:

[0051] 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, the size...

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Abstract

The invention discloses a local Retinex dehazing algorithm based on HSV color spaces. The local Retinex dehazing algorithm is used for conducting image enhancement on an image with fog being unevenly distributed under the foggy day condition. The method includes the following steps that A, the multi-layered foggy day image is processed in different color spaces, so that the image contrast ratio is enhanced, and the image definition is improved; B, the size of the image is obtained, the sizes of subblock images are judged in a self-adaptation mode, and a luminance image of the foggy day image is partitioned; enhancement processing is conducted on all sub images of the luminance component, and the image definition is improved; C, the area proportion factors of all pixel points in the overlapped sub images are calculated, weighted summation is conducted on all the overlapped sub images, and image fusion is achieved; D, the saturability component of the image is processed, and the image color is restored. By means of the local Retinex dehazing algorithm, scenery details at different levels can be restored clearly and quickly, the visual effect of the image is improved, and the algorithm is suitable for aerial photo systems at different regions.

Description

technical field [0001] The invention belongs to the technical field of image information processing. The invention is a local Retinex defogging algorithm 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 c...

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Application Information

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IPC IPC(8): G06T5/00G06T5/20
Inventor 王洪玉曹静
Owner DALIAN UNIV OF TECH
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