Multi-focus Image Fusion Method Based on Regional Similarity
A multi-focus image and fusion method technology, which is applied in image enhancement, image data processing, instruments, etc., can solve the problems of image noise and poor fusion effect of multi-focus images, and achieve the effect of suppressing the influence of noise and optimizing visual effects
Inactive Publication Date: 2017-10-31
西安汇科网络技术有限公司
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Problems solved by technology
In the process of actually collecting images, often the images collected due to environmental or sensor factors contain noise
Therefore, the fusion effect of traditional fusion algorithms applied to noise-contaminated multi-focus images is relatively poor.
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[0043] refer to figure 1 , the concrete process of the present invention comprises:
[0044] Step 1: Use the mean filter to filter the two multi-focus images A and B to obtain filtered multi-focus images, which are denoted as A' and B' respectively.
[0045] Because multi-focus images are affected by Gaussian noise, in traditional denoising algorithms, mean filter is the most powerful tool to remove Gaussian noise. Therefore, the present invention adopts the mean value filter to filter the two multi-focus images A and B respectively to obtain the filtered multi-focus images A' and B', wherein,
[0046]
[0047]
[0048] Here, S xy Represents an image block with a window size of n′×m′.
[0049] Step 2: Use the LSWT algorithm to fuse two multi-focus images A' and B' to obtain a preliminary fused image I F ;
[0050] refer to figure 2 ,Specific steps are as follows:
[0051] Step 2.1: After the two multi-focus images A' and B' are decomposed by LSWT, the high-freque...
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The invention discloses a multi-focus image fusion method based on region similarity. The process of the method comprises the following steps: first, mean filtering is carried out on multi-focus images, and an initial fused image of the processed multi-focus images is determined by the adoption of a fusion algorithm based on lifting stationary wavelet transform (LSWT); then, similar regions of the initial fused image are extracted based on root-mean-square error (RMSE), a logic matrix is constructed and focus regions of the multi-focus images are extracted according to the logic matrix; and finally, structural similarity is used as a weight coefficient of the focus regions, and a weighting method is adopted to obtain a final fused image. The experimental result shows that the fused image obtained by using the method of the invention has higher similarity with an original image, and for the multi-focus images containing noise, the method of the invention has a better fusion effect than the existing fusion method.
Description
technical field [0001] The invention belongs to the field of image processing and specifically designs image decomposition and image fusion methods for target recognition. Background technique [0002] Due to the limited depth of field of the optical imaging system, it is difficult to obtain clear imaging of all objects in the same scene, making the imaging clear in the in-focus area and blurred in the out-of-focus area. By using fusion technology, multiple different focused images of the same scene are fused according to a certain fusion criterion, and the respective clear areas are extracted to combine all the objects in the scene with clear information, a more comprehensive and accurate new image, which is convenient for human eyes to observe or Further processing by computer. [0003] Commonly used multi-focus image fusion methods include traditional multi-resolution coefficient fusion method and image block extraction fusion method. The former, such as Laplacian pyram...
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IPC IPC(8): G06T5/50
Inventor 杨川
Owner 西安汇科网络技术有限公司