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Multiple-colour tone image unity regulating method based on color transfer

A color transfer and adjustment method technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problem of long processing time

Inactive Publication Date: 2009-05-27
ZHEJIANG UNIV
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  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0011] The purpose of the present invention is to overcome the deficiencies of the existing global adjustment algorithm and the shortcoming of long processing time, and provide a unified adjustment method for multi-tone images based on color transfer

Method used

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  • Multiple-colour tone image unity regulating method based on color transfer
  • Multiple-colour tone image unity regulating method based on color transfer
  • Multiple-colour tone image unity regulating method based on color transfer

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Embodiment Construction

[0086] The unified adjustment method for multi-tone images based on color transfer includes the following steps:

[0087] 1) Divide an image with two tones into two images - the reference image and the image to be adjusted, and convert these two images to the lαβ color space;

[0088] 2) Segment the two images with the K-means algorithm, and sample each segmented area of ​​the reference image;

[0089] 3) Carry out probability segmentation to two images respectively with expectation maximization algorithm, and establish mapping relation to each segmentation interval of reference image and image to be adjusted;

[0090] 4) scaling the brightness of the image to be adjusted so that it is consistent with the brightness of the reference image;

[0091] 5) For each point of the image to be adjusted, find the point that best matches it in the sampling points of the reference image, and transfer the color value of the most matching point in the reference image to the corresponding p...

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Abstract

The invention discloses a method for uniformly adjusting a multicolor picture based on color transmission. The method comprises the following steps: 1, one picture with two colors is divided into two pictures, namely a reference picture and a picture to be adjusted; and the two pictures are converted to a 1 alpha beta color space; 2, the two pictures are divided through a K mean algorithm; and each partition region of the reference picture is sampled; 3, an expectation maximization algorithm is used to carry out probability partition on the two pictures respectively; and a mapping relation is established between each partition region of the reference picture and each partition region of the picture to be adjusted; 4, the picture to be adjusted is subjected to brightness zooming in order to keep consistency in brightness of the reference picture; and 5, a point of sampling points of the reference picture which is most matched with each point of the picture to be adjusted is searched out; and the color value of the most matched point of the reference picture is transmitted to the corresponding point of the picture to be adjusted. The method has small calculation amount, is convenient and rapid and solves the problem of color discontinuity in the prior multicolor picture adjustment method.

Description

technical field [0001] The invention relates to a unified adjustment method for multi-tone images based on color transfer based on color transfer. Background technique [0002] There is an obvious defect in the current remote sensing images: since the sub-images of different areas in the original image may be taken by different types of satellites at different times and under different climatic conditions, when these images are spliced ​​and displayed in the later stage , there will be a problem that the color tone of adjacent images is too large, which is visually abrupt, which makes the observer feel uncomfortable and affects the interpretation. Urban planning brings difficulties and also affects the accuracy of analysis and statistics. This problem also often occurs in most commercial GIS software, such as Google Earth, an online GIS system launched by Google, which is very popular now. It can be seen that it is very necessary to study the tone uniformity of remote sens...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T5/50G06T7/00
Inventor 王章野柯晓棣陈晓兰彭群生
Owner ZHEJIANG UNIV
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