Retinex-theory-based low-illumination low-altitude remote sensing image enhancing method

A low-altitude remote sensing and image enhancement technology, applied in image enhancement, image data processing, instruments, etc., to solve problems such as image color distortion

Active Publication Date: 2013-08-28
WUHAN UNIV
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Problems solved by technology

This type of method can compress the dynamic range of the image and improve the contrast of the image, but the brightness information and the color informa

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  • Retinex-theory-based low-illumination low-altitude remote sensing image enhancing method
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  • Retinex-theory-based low-illumination low-altitude remote sensing image enhancing method

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[0028] The present invention will be further described below in conjunction with the accompanying drawings and embodiments. The technical solution of the present invention can adopt computer software technology to realize the automatic operation process. The embodiment of the present invention is to enhance the low-light and low-altitude remote sensing images of Futian District, Shenzhen City, referring to figure 1 , the concrete steps of the embodiment of the present invention are as follows:

[0029] Step 1: Convert the original image from RGB color space to HSI color space.

[0030] For the low-illuminance and low-altitude remote sensing image input as the original image, the main purpose of the present invention is to convert the original image from the RGB color space to the HSI color space for enhancement processing to separate the color component from the brightness component and saturation component, so as to ensure that the color component does not Change, adjust th...

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Abstract

The invention relates to a Retinex-theory-based low-illumination low-altitude remote sensing image enhancing method, mainly comprising the following steps of: transforming a low-illumination low-altitude remote sensing image from a red, green, blue (RGB) color space into a hue, saturation, intensity (HSI) color space; adjusting a luminance component I and a saturation component S on the premise of guaranteeing that a hue component H is not changed, so that the processed image accords with visual characteristics of eyes of a human body and a color distortion phenomenon is avoided; transforming the enhanced image from the HIS color space into the RGB color space; and performing convolution operation by using a laplace operator and an original image to obtain an edge image; and superposing the enhanced image and the edge image to obtain the finally enhanced image. By virtue of the method, the luminance and the contrast of the low-illumination low-altitude remote sensing image are improved, the color distortion phenomenon is avoided, and the low-illumination low-altitude remote sensing image has rich edge information and accords with the visual characteristics of the eyes of the human body.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image processing, and relates to a low-illuminance and low-altitude remote sensing image enhancement method based on the Retinex theory. Background technique [0002] Low-altitude remote sensing images contain very rich information, but due to the influence of external factors such as sensor performance, bad weather, and uneven illumination, the acquired remote sensing images often have problems such as uneven brightness, low contrast, color distortion, and blurred edges. It leads to the deterioration of image quality and affects the subsequent interpretation and information extraction of remote sensing images. Therefore, in order to improve image quality and extract more usable information, fast and efficient image enhancement algorithms have become one of the key contents to promote the development of image analysis and understanding fields. [0003] Low-light and low-altitude remote sen...

Claims

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Application Information

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IPC IPC(8): G06T5/00
Inventor 邵振峰白云
Owner WUHAN UNIV
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