Image fusion quality evaluation method

Abstract

The invention discloses an image fusion quality evaluation method. The image fusion quality evaluation method comprises the steps of obtaining source images, carrying out image preprocessing, carrying out image fusion and carrying out fusion quality evaluation. According to the step of obtaining the source images, the source images need to be synchronous in time and cover the same area in space. According to the step of carrying out image preprocessing, the quadratic polynomial registration method is adopted and the nearest neighbor interpolation method is adopted for resampling. According to the step of carrying out image fusion, the fusion method combining the multiscale analysis method and the component substitution method is adopted for the source image to obtain fusion images through different fusion methods. According to the step of carrying out fusion quality evaluation, cross entropy and structural similarity of the fusion images and the source images are calculated, a weighting function model of the cross entropy and the structural similarity is built, and then a total fusion quality evaluation value under a preset weight is calculated. According to the image fusion quality evaluation method, the problems that evaluation indexes are multiple and related and subjective evaluation varies from person to person in a traditional fusion quality evaluation method are solved. The image fusion quality evaluation method is simple and universal.

Description

technical field [0001] The invention relates to the field of image fusion quality evaluation, in particular to an image fusion quality evaluation method. Background technique [0002] Image fusion is a tool and means to generate new images by using two or more source images. Its purpose is to increase the information content of source images. Image fusion has been widely used in medicine, military target detection, remote sensing technology and other fields. Compared with the rapidly developing image fusion technology, the development of fusion quality evaluation is relatively lagging behind, and there is no unified conclusion on fusion quality evaluation in the industry. The fusion quality evaluation method is very important for judging the effect of image fusion and the application of subsequent fusion images. At present, the evaluation of image fusion quality at home and abroad mainly adopts objective, subjective and subjective and objective methods. The objective evalua...

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Problems solved by technology

[0004] 1. The objective statistical results are often inconsistent with the subjective interpretation;

[0005] 2. The subjective interpretation method varies from person to person, and is greatly affected by the professional knowledge level of the interpreter;

[0006] 3. There are many objective evaluation indicators, and there are correlations among these evaluation indicators, and the reliability of the evaluation results obtained by combining indicators with strong correlations is weak

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