Tone adjustment method based on image overlap region for mosaic of remote sensing image

Abstract

The invention relates to a tone adjustment method based on an image overlapping area in remote sensing image mosaic, comprising: 1. Obtaining brightness values ​​of pixels in the overlapping area of ​​the reference image and the image to be adjusted; 2. Counting the current image on the overlapping area The distribution of the difference between the luminance value and the luminance value obtained in the first step, smoothing the histogram of the statistical results, and obtaining the difference diff corresponding to the maximum peak of the histogram; 3. Statistics of the luminance value difference on the overlapping area of ​​​​the image to be processed Equal to the distribution situation of the pixel point luminance value of 1, smoothing is done to statistical result histogram, obtains the corresponding luminance value Pos at the histogram maximum peak place; Four, according to the Pos value that the 3rd step obtains, adjust the overall tone of image to be processed. The invention can adjust the overall tone difference of the image, reduces the complexity of the algorithm, has simple algorithm, is easy to implement, and improves the practicability.

Description

Technical field: [0001] The invention belongs to the field of remote sensing image mosaic technology, and relates to a method for adjusting hue in remote sensing image mosaic based on the difference in brightness values ​​of overlapping regions of adjacent images. Background technique: [0002] Remote sensing image mosaicking is one of the important contents of remote sensing technology application, especially for large-scale satellite remote sensing and regional aerial remote sensing, it often requires multiple images to be mosaiced; Features with the same name appear in different tones on adjacent images. If no countermeasures are taken for these situations, the overall mosaic image will have obvious brightness unevenness and color imbalance. This phenomenon leads to the fact that the spliced ​​image is not conducive to human observation, and also affects the analysis and recognition of ground object images and professional information. Therefore, in the process of image ...

AI Technical Summary

Problems solved by technology

[0002] Remote sensing image mosaicking is one of the important contents of remote sensing technology application, especially for large-scale satellite remote sensing and regional aerial remote sensing, it often requires multiple images to be mosaiced; Features with the same name appear in different hues on adjacent images

If no countermeasures are taken for these situations, the mosaic image will have obvious uneven brightness and unbalanced color

This phenomenon leads to the fact that the spliced ​​image is not conducive to human observation, and also affects the analysis and recognition of ground object images and professional information. Therefore, in the process of image mosaic, a technology is needed to adjust the mosaic image. overall tone

[0003] The current general tone adjustment methods can be summarized as: histogram method, variance mean method, and image information entropy method; the common feature of these methods is that the calculation amount is large, which often affects the use efficiency. This shortcoming is especially noticeable when dealing with

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