Fast Decomposition Algorithm Based on Two-Dimensional Wavelet Transform for Image Processing of Graphic Design

Graphic design is an important part of the design field today. In this era of information explosion, designs that can deliver information faster and more accurately are bound to gain popularity among the public. In this paper, we propose a fast decomposition algorithm image processing method based o...

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Autores principales:	Feifei Jiang, Wenting Yao
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Physics QC1-999
Acceso en línea:	https://doaj.org/article/bd4673a182164ee6aa8e524c15f1684f
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id	oai:doaj.org-article:bd4673a182164ee6aa8e524c15f1684f
record_format	dspace
spelling	oai:doaj.org-article:bd4673a182164ee6aa8e524c15f1684f2021-11-08T02:35:53ZFast Decomposition Algorithm Based on Two-Dimensional Wavelet Transform for Image Processing of Graphic Design1687-913910.1155/2021/5108622https://doaj.org/article/bd4673a182164ee6aa8e524c15f1684f2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/5108622https://doaj.org/toc/1687-9139Graphic design is an important part of the design field today. In this era of information explosion, designs that can deliver information faster and more accurately are bound to gain popularity among the public. In this paper, we propose a fast decomposition algorithm image processing method based on a new transform of the wavelet transform, which mainly addresses the problems of large computation of feature points and long-time consumption of traditional image processing algorithms. Firstly, the second-order decomposition of the image is performed by wavelet function to obtain the low-frequency components of the image, and the wavelet gradient vector is used to extract feature points from the overlapping regions of the low-frequency image so that the transformation parameters of feature points can be obtained quickly under the low-frequency image to guide the feature point extraction under the high-frequency image; on this basis, an improved algorithm of image processing based on the fast decomposition algorithm of two-dimensional wavelet transform with planar design is proposed. Using the properties of one-way matching and directional consistency of feature point constraints, the mismatched point pairs are effectively eliminated to improve the feature point matching accuracy and real-time performance. Finally, the effectiveness and feasibility of the proposed method are verified by two sets of experiments.Feifei JiangWenting YaoHindawi LimitedarticlePhysicsQC1-999ENAdvances in Mathematical Physics, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Physics QC1-999
spellingShingle	Physics QC1-999 Feifei Jiang Wenting Yao Fast Decomposition Algorithm Based on Two-Dimensional Wavelet Transform for Image Processing of Graphic Design
description	Graphic design is an important part of the design field today. In this era of information explosion, designs that can deliver information faster and more accurately are bound to gain popularity among the public. In this paper, we propose a fast decomposition algorithm image processing method based on a new transform of the wavelet transform, which mainly addresses the problems of large computation of feature points and long-time consumption of traditional image processing algorithms. Firstly, the second-order decomposition of the image is performed by wavelet function to obtain the low-frequency components of the image, and the wavelet gradient vector is used to extract feature points from the overlapping regions of the low-frequency image so that the transformation parameters of feature points can be obtained quickly under the low-frequency image to guide the feature point extraction under the high-frequency image; on this basis, an improved algorithm of image processing based on the fast decomposition algorithm of two-dimensional wavelet transform with planar design is proposed. Using the properties of one-way matching and directional consistency of feature point constraints, the mismatched point pairs are effectively eliminated to improve the feature point matching accuracy and real-time performance. Finally, the effectiveness and feasibility of the proposed method are verified by two sets of experiments.
format	article
author	Feifei Jiang Wenting Yao
author_facet	Feifei Jiang Wenting Yao
author_sort	Feifei Jiang
title	Fast Decomposition Algorithm Based on Two-Dimensional Wavelet Transform for Image Processing of Graphic Design
title_short	Fast Decomposition Algorithm Based on Two-Dimensional Wavelet Transform for Image Processing of Graphic Design
title_full	Fast Decomposition Algorithm Based on Two-Dimensional Wavelet Transform for Image Processing of Graphic Design
title_fullStr	Fast Decomposition Algorithm Based on Two-Dimensional Wavelet Transform for Image Processing of Graphic Design
title_full_unstemmed	Fast Decomposition Algorithm Based on Two-Dimensional Wavelet Transform for Image Processing of Graphic Design
title_sort	fast decomposition algorithm based on two-dimensional wavelet transform for image processing of graphic design
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/bd4673a182164ee6aa8e524c15f1684f
work_keys_str_mv	AT feifeijiang fastdecompositionalgorithmbasedontwodimensionalwavelettransformforimageprocessingofgraphicdesign AT wentingyao fastdecompositionalgorithmbasedontwodimensionalwavelettransformforimageprocessingofgraphicdesign
_version_	1718443223074996224

Fast Decomposition Algorithm Based on Two-Dimensional Wavelet Transform for Image Processing of Graphic Design

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