Method and device for evaluating image fusion quality
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A quality evaluation and image fusion technology, applied in the field of image fusion, to avoid image blur and noise, high consistency, and good quality.
Inactive Publication Date: 2013-04-17
SHENZHEN INSTITUTE OF INFORMATION TECHNOLOGY
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[0006] An embodiment of the present invention provides a method for image fusion quality evaluation, aiming to solve the above-mentioned problems existing in the existing mainstream image fusion quality evaluation methods
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Embodiment 1
[0048] figure 1 The implementation process of the image fusion quality evaluation method provided in the first embodiment of the present invention is shown. The process of the method is described in detail as follows:
[0049] In step S101, each source image and a fusion image of the source image are acquired;
[0050] In step S102, each source image is segmented using a fuzzy clustering method to obtain segmented images, and the segmented images of each source image are merged into a total segmentation map;
[0051] In step S103, obtain a visual saliency map and a variance saliency map of each source image, and merge the visual saliency map and the variance saliency map into a visual variance saliency map;
[0052] In step S104, a weight map is calculated according to the visual variance saliency map, and a saliency coefficient of each region of the source image and the fusion image is calculated according to the visual variance saliency map and the total segmentation map;
[0053] In ...
Embodiment 2
[0095] Image 6 The composition structure of the image fusion quality evaluation device provided in the second embodiment of the present invention is shown. For ease of description, only the parts related to the embodiment of the present invention are shown.
[0096] The image fusion quality evaluation device may be a software unit, a hardware unit or a combination of software and hardware running in each application system.
[0097] The image fusion quality evaluation device includes an image acquisition unit 61, an image segmentation unit 62, a saliency map acquisition unit 63, a first calculation unit 64, a second calculation unit 65, and an index acquisition unit 66, and its specific functions are as follows:
[0098] The image acquisition unit 61 is configured to acquire each source image and a fusion image of the source image;
[0099] The image segmentation unit 62 is configured to segment each source image by using a fuzzy clustering method to obtain segmented images, and merge...
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Abstract
The invention belongs to the technical field of image fusion and provides a method and a device for evaluating image fusion quality. The method comprises the following steps of: obtaining source images and a fused image of the source images; segmenting the source images by adopting a fuzzy clustering method to obtain segmented images, and uniting the segmented images into an overall segmentation map; obtaining visual variance saliency maps of the source images; computing weight maps according to the visual variance saliency maps, and computing saliency coefficients of all areas of the source images and the fused image according to the visual variance saliency maps and the overall segmentation map; computing weighted structure similarities of the fused image and the source images in the areas according to the overall segmentation map, the weight maps and the saliency coefficients; summing up the weighted structure similarities of all areas to obtain an evaluation index for the quality of the fused image. Compared with the existing EFQI (edge-dependent fusion quality index) and the traditional objective evaluation indexes, the evaluation index obtained by adopting the method provided by the invention has higher consistency with objective evaluation.
Description
Technical field [0001] The invention belongs to the technical field of image fusion in image processing, and in particular relates to a method and device for evaluating image fusion quality. Background technique [0002] Image fusion refers to combining two or more source images into a composite image containing significant information of each source image, so as to obtain a more comprehensive and clear description of a certain scene or target. With its outstanding detection superiority, image fusion technology is widely used in remote sensing, computer vision, medical and military target detection and recognition, and image fusion algorithms have also entered a relatively mature stage. However, compared with the maturity of the image fusion algorithm itself, the evaluation of the image fusion quality still has big defects. [0003] At present, the evaluation of image fusion quality mainly includes subjective evaluation and objective evaluation. Subjective evaluation mainly relies...
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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50G06T7/00
Inventor 任仙怡胡涛陆芸婷陈三风梁永生张基宏
Owner SHENZHEN INSTITUTE OF INFORMATION TECHNOLOGY
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