Image Processing Algorithm of Packing Design Based on Artificial Intelligence

Abstract

The current image processing methods of packing design are inefficient and cannot meet the actual requirements of packing design image processing. In order to improve the image processing effect of packing design, this article analyzes the image processing method of packing design in detail, and proposes an image processing algorithm of packing design based on wavelet transform by using AI (Artificial intelligence) combined with CAD (Computer aided design) technology. At the same time, in order to further improve the quality of image denoising and restoration, an adaptive threshold setting method based on wavelet decomposition scale is designed, which can effectively adjust the threshold to retain effective information. The simulation show that compared with the matched filtering algorithm, the proposed algorithm has higher accuracy and lower mean square error. The error is about 4.12, and the accuracy can be stabilized above 90%. The proposed method can decompose the image, and through decomposition, the key content in the image and other contents can be selectively enhanced and deleted, so that the key content of the image can be expressed more clearly, and it has better ability to retain the details and edge information of the image. It completely meets people's demand for image processing of packing design.