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Image splicing and fusion method based on human visual characteristics

A technology of image splicing and fusion methods, which is applied in image processing and computer graphics, optimizes image fusion effects, improves image quality based on human eye characteristics, and achieves the effect of improving quality and improving quality

Inactive Publication Date: 2020-06-26
TIANJIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In order to overcome the deficiencies of the prior art, the present invention aims to solve problems such as misalignment, edge breakage, and splicing gaps that occur during image fusion in common image stitching methods. The masking effect improves the quality of stitched images, reduces the image quality degradation caused by edge breaks, and obtains high-quality stitched fusion images that conform to vision

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  • Image splicing and fusion method based on human visual characteristics
  • Image splicing and fusion method based on human visual characteristics
  • Image splicing and fusion method based on human visual characteristics

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Embodiment Construction

[0030] The essence of image splicing and fusion is to use the overlapping area of ​​two images as a reference to assemble the processed image pixels into one image. A common fusion method is to use one of the input stitched images as a benchmark, and fill in the other stitched image after operation. Therefore, the path for image splicing and fusion is the boundary of the reference image. When there is a certain deviation between the operation parameters and the actual situation and the edge of the graph intersects with the stitching path, edge dislocation or breakage will occur. If these misalignments occur in areas of high visual salience, they can seriously affect the quality of the image. At the same time, there are some textured areas with relatively high levels of confusion (such as gravel, tree crowns, etc.) in the image. When dislocation edges occur in this area, due to the masking characteristics of the human eye, these dislocation edges will not be perceived. Theref...

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Abstract

The invention relates to the fields of image processing and computer graphics, and aims to improve the quality of spliced ​​images by utilizing visual salience and masking effects, reduce image quality degradation caused by edge fractures, and obtain visually high-quality spliced ​​and fused images. The technical solution adopted by the present invention is an image splicing and fusion method based on the visual characteristics of the human eye. The steps are as follows: process the overlapped area of ​​the two images after the matching operation processing, and search for the splicing path in this area: 1. Search in the overlapped area Regions with visual masking characteristics; 2. Find the pixel weights of smooth regions and texture regions; 3. Find the visual salience of overlapping regions; 4. Solve the stitching path; 5. Use this path to complete image stitching. The invention is mainly applied to image processing occasions.

Description

technical field [0001] The invention relates to the fields of image processing and computer graphics and the field of improving image quality based on the characteristics of human eyes. In particular, it relates to the field of optimizing image fusion effects based on human visual characteristics when performing image matching and splicing. Specifically, it involves an image splicing and fusion method based on the visual characteristics of the human eye. Background technique [0002] Image stitching and fusion technology is widely used in automotive electronics, drones, military, remote sensing and other fields. This technology extracts, matches, and calculates the feature information of two or more images with overlapping areas to obtain stitching parameters, and then deforms the images according to the stitching parameters and fuses them into an image with a wide viewing angle. In practical applications, due to the limitations of the stitching algorithm, the shooting met...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T3/40G06T5/30G06T5/50G06T7/13G06K9/46
CPCG06T3/4038G06T5/30G06T5/50G06T2207/20221G06V10/462
Inventor 史再峰高阳庞科高静徐江涛刘铭赫
Owner TIANJIN UNIV
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