Local Retinex enhancement algorithm based on HSV color spaces

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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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 use a nonlinear conversion function for the V component (ie, the brightness component) to perform contrast enhancement without changing the S and H components of the image to preserve the color, which can effectively enhance the unevenness of illumination image, but not suitable for foggy image processing

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