Digital image denoising by partial differential equation based on P-M model and its fuzzy evaluation method system
Authors: 
Jingying Liu, Yang HuAuthors Info & Claims
Jingying Liu, Yang HuAuthors Info & ClaimsAbstract
Aiming at the problems of storage, batch migration and centralized processing of visual digital images of infrared imaging products, this paper takes digital image noise reduction as the main research object and starts with the concept of image partial differential equation processing. Based on the development history, advantages, practicability and operability of digital image processing by partial differential equation, it is concluded that digital image processing technology based on P-M model method is more suitable for modern image processing, and also broadens and improves the basic algorithm of digital image processing in the past. On this basis, the image quality is evaluated by using the fuzzy comprehensive evaluation theory based on analytic hierarchy process. The results show that the optimized processing system can screen the advantages and disadvantages of visual digital images of infrared imaging products and provide technical support.
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Published In
March 2023
598 pages
ISBN:9781450399449
DOI:10.1145/3590003
Copyright © 2023 ACM.
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Association for Computing Machinery
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Published: 29 May 2023
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CACML 2023
CACML 2023: 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning
March 17 - 19, 2023
Shanghai, China
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CACML '23 Paper Acceptance Rate 93 of 241 submissions, 39%;
Overall Acceptance Rate 93 of 241 submissions, 39%
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