Image Denoising Method Based on Mathematical Morphology for Fourth Order Partial Differential Equation
A mathematical morphology and partial differential equation technology, applied in the field of fourth-order partial differential equation image denoising, can solve problems such as blurred edge details and achieve good visual effects
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0033] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings; it should be understood that the preferred embodiments are only for illustrating the present invention, rather than limiting the protection scope of the present invention.
[0034] A fourth-order partial differential equation image denoising method based on mathematical morphology, comprising the following steps: S1 adopts the method of mathematical morphology to detect the edge of the noise image; S2 calculates the gradient magnitude of the noise image; The morphological gradient operator and the gradient magnitude in step S2 establish a partial differential equation, and S4 adopts an iterative method to solve the partial differential equation to obtain a denoised image.
[0035] Mathematical morphology is a discipline based on strict mathematical theory. Its basic idea is to use certain structural elements to measure and extract the corres...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com