Image splicing method based on discrete wavelet transform and gradient fusion algorithm

A discrete wavelet transform and fusion algorithm technology, applied in the field of image processing, can solve the problems of image blur, fusion image blur, insufficient image detail information, etc.

Active Publication Date: 2020-05-19
FUZHOU UNIV
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Problems solved by technology

Image fusion is an important part of image stitching, and traditional pixel-level fusion algorithms, such as average fusion algorithm and comparison fusion algorithm, will make the stitched image blurred, and the gradual-in and gradual-out fusion algorithm does not fully consider the reference image and target The difference in image clarity le

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  • Image splicing method based on discrete wavelet transform and gradient fusion algorithm
  • Image splicing method based on discrete wavelet transform and gradient fusion algorithm
  • Image splicing method based on discrete wavelet transform and gradient fusion algorithm

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[0041] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0042]It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0043] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combination...

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Abstract

The invention relates to an image splicing method based on discrete wavelet transform and a gradient fusion algorithm. Firstly, projection transformation is performed on a reference image and a targetimage; feature points are extracted through an SURF algorithm, and registration is carried out through a KNN algorithm and an RANSAC algorithm; and then searching an optimal suture line to determinea fusion area and a mask image thereof, carrying out discrete wavelet transform, then respectively fusing the decomposed low-frequency area and the decomposed high-frequency area by using a gradient fusion algorithm, generating a fusion image by using inverse discrete wavelet transform, and finally splicing by using the mask image to obtain a final spliced image. According to the invention, the image splicing quality can be improved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image mosaic method based on discrete wavelet transform and gradient fusion algorithm. Background technique [0002] Image stitching refers to the technology of stitching several images with overlapping areas into a seamless panorama or high-resolution image, which is widely used in computer vision, medical image analysis, remote sensing images, and virtual reality. Image fusion is an important part of image stitching, and traditional pixel-level fusion algorithms, such as average fusion algorithm and comparison fusion algorithm, will make the stitched image blurred, and the gradual-in and gradual-out fusion algorithm does not fully consider the reference image and target The difference in image clarity leads to insufficient detail information in the fused image. Discrete wavelet transform is a commonly used tool for image fusion. The traditional fusion algorithm bas...

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Application Information

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IPC IPC(8): G06T3/40G06T7/33
CPCG06T3/4038G06T7/337G06T2207/20221G06T2207/20064
Inventor 郑茜颖翁道臣俞金玲程树英罗征张玉婷
Owner FUZHOU UNIV
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