Abstract
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.
Highlights
Image processing methods refer to the use of various image alignment algorithms and image fusion algorithms to stitch multiple images with overlapping regions into a single widefield, seamless, high-resolution image or dynamic panoramic image
To derive the superiority of image processing methods based on a fast decomposition algorithm of 2D wavelet transforms for graphic design, experimental comparison among various algorithms of image processing is required to analyze which algorithm is more efficient in image processing
The differential method belongs to the null domain processing algorithm, suitable for implementation on hardware, commonly used are gradient algorithm and Laplace algorithm and fast decomposition algorithm based on two-dimensional wavelet transform
Summary
Image processing methods refer to the use of various image alignment algorithms and image fusion algorithms to stitch multiple images with overlapping regions into a single widefield, seamless, high-resolution image or dynamic panoramic image. Because graphic design has unique advantages in aesthetics and information transmission that are incomparable to other forms, modern graphic design is widely used in the field of commercial advertising [1] This horizontal crossover has created a complementarity in the development of graphic design and commercial advertising, and whenever there is a breakthrough in the development of one side, it always results in a huge innovation on both sides. Wavelet transform algorithm analysis is in the time domain, and frequency domain at the same time has a good localization nature in addition and has multiresolution analysis characteristics, so it can effectively distinguish the signal from the noise to form the necessary tools for image analysis and more able to carry
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