Remote sensing image color enhancing method based on multi-scale image segmentation and color transferring

A remote sensing image and color transfer technology, which is applied in the field of remote sensing image processing, can solve problems affecting the accuracy of results, unnatural colors of fused images, and residual errors in geometric correction, etc., to achieve enhanced recognizability, enhanced detail resolution, and reduced color transfer effect of error

A remote sensing image and color transfer technology, which is applied in the field of remote sensing image processing, can solve problems affecting the accuracy of results, unnatural colors of fused images, and residual errors in geometric correction, etc., to achieve enhanced recognizability, enhanced detail resolution, and reduced color transfer effect of error

CN103136733AInactive Publication Date: 2013-06-05NO 61 INST OF GENERAL STAFF +1
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  • Remote sensing image color enhancing method based on multi-scale image segmentation and color transferring
  • Remote sensing image color enhancing method based on multi-scale image segmentation and color transferring
  • Remote sensing image color enhancing method based on multi-scale image segmentation and color transferring

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[0033] The specific implementation manner of the present invention will be further described below in conjunction with the drawings and embodiments. The following examples are only used to illustrate the present invention, but not to limit the scope of the present invention.

[0034] Flowchart such as figure 1 A method for color enhancement of remote sensing images based on multi-scale image segmentation and color transfer is shown, which mainly includes the following steps:

[0035] S1. Perform wavelet noise reduction preprocessing on the target grayscale image; this is because the remote sensing imaging process is a photoelectric integrated modulation process, which is often subject to various noises and interferences. If the grayscale remote sensing image is not pre-processed for noise reduction, the noise will appear more obvious after being directly converted to color, which will affect the final enhancement effect. The noise of the grayscale image will also affect and ...

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Abstract

The invention relates to the technical field of remote sensing image processing, in particular to a remote sensing image color enhancing method based on multi-scale image segmentation and color transferring. The method comprises steps: S1, conducting wavelet denoising preprocessing for a target gray level image; S2, according to a multi-scale normalized segmentation method, conducting segmentation of the target gray level image after preprocessed; S3, combining a reference image, and conducting brightness matching for all sub-domains of the target gray level image; and S4, selecting a sub-domain with the similar property to conduct mapping and color transferring. Aesthetic measure and target recognized degree of a result image are obviously enhanced, under the condition that image registering is not needed, the method can achieve full-automatic color enhancing for a remote sensing image which is relatively simple in texture structure and big in brightness contrast just through a color reference image which is similar in character and style, and therefore, the remote sensing image color enhancing method provides strong technical support for remote sensing image processing.

Description

technical field [0001] The invention relates to the technical field of remote sensing image processing, in particular to a remote sensing image color enhancement method based on multi-scale image segmentation and color transfer. Background technique [0002] In a grayscale image, the human eye can only distinguish more than 20 gray levels from black to white, while the human eye can distinguish hundreds or even thousands of colors. If the original grayscale image is colorized, the human visual system can have a richer understanding of the details of the image, thereby greatly improving the readability of the image and making it easier to extract the required information. [0003] In the prior art, there are roughly two types of processing methods to solve image colorization: one is to use human-computer interaction, represented by software BlackMagic and colorization using optimization, and the other is non-interactive It is represented by pseudo-colorization (pse udo-color...

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Application Information

Patent Timeline
05 Jun 2013
Publication
CN103136733A
IPC
G06T5/00
Inventors
张砚; 罗强一