Blind Image Restoration Method Based on Blur Kernel Estimation Iterative Structure Preservation
An iterative structure and blur kernel technology, applied in the field of image processing, can solve the problems of obvious ringing, slow convergence, unclear texture detail recovery, etc., to achieve the effect of SSIM improvement
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0056] The technical method of the present invention includes the following parts: establishing an image degradation model, estimating a potentially sharp image, selecting a structure-preserving gradient subset, and estimating a blur kernel. details as follows:
[0057] 1) Establish an image degradation model
[0058] A degradation model is established for the input blurred image, and the potential image gradient and blur kernel are constrained at the same time, and the blur kernel and the potential clear image are simultaneously solved by alternate iterations.
[0059] 2) Estimation of potentially sharp images
[0060] According to the degradation model of the image, at each step of the iterative solution, fix the blur kernel and add L to the latent image gradient 1 Regularization constraints are introduced, and variables are introduced to solve the latent image using iterative re-weighted least squares (IRLS), and obtain the intermediate latent image result sequence when t...
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