An Enhancement Method Applicable to True Color Remote Sensing Images

Abstract

The invention discloses an enhancement method suitable for a true color remote sensing image. The enhancement method mainly comprises the following steps: 1, carrying out linear stretching transformation on an input true color remote sensing image; 2, converting the image subjected to linear stretching transformation into an HSI color space; 3, calculating a gradient gray level joint histogram ofthe I component in the HSI color space; 4, adjusting and optimizing the shape of the histogram in a self-adaptive manner according to the statistical characteristics of the gradient gray level combined histogram; 5, remapping the gray value of the I component by using a histogram equalization method to obtain a globally enhanced I component; 6, calculating a gradient difference between the original I component and the global enhanced I component by using a Prewitt operator, and carrying out detail compensation on a gradient descent region of the global enhanced I component to obtain a global and local enhanced new I component; and 7, converting the new I component and the original H and S components into an RGB color space. The true color remote sensing image enhanced by the method is goodin visual effect, real in color and rich in details.

Description

technical field [0001] The invention relates to the field of image enhancement, in particular to an enhancement method for true-color remote sensing images. [0002] technical background [0003] Color and contrast (overall contrast and local details) are important information to measure true-color remote sensing images, and they are also important factors that affect the visual effect of remote sensing images. High-quality true-color remote sensing images are widely used in object classification and target recognition, and are also important basic data for map navigation. However, due to uncertain factors such as weather changes and equipment aging, image color deviation, contrast decrease and loss of detail will occur. Therefore, enhancing the contrast of the image and maintaining the color information of the image is the key to the subsequent application of the true color remote sensing image. [0004] The purpose of true color remote sensing image enhancement is to impr...

AI Technical Summary

Problems solved by technology

The enhancement method based on color space conversion can better maintain the image color, but there are still problems such as image distortion and loss of details.

[0007] In the actual real-color remote sensing image display, we need to obtain images with better overall contrast and better local details, and also need to maintain the true color of the image, and the existing methods are difficult to meet these requirements

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