Image super-resolution method based on improved non-local constraints and local self-similarity
A self-similar, non-local technology, applied in the field of image processing, it can solve the problems of blurred edges of high-resolution images, prone to errors, poor visual effects, etc., and achieve the effect of more image details and sharpening image edges.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0030] refer to figure 1 , the implementation steps of the present invention are as follows:
[0031] Step 1, input a low-resolution image X, and interpolate and enlarge it.
[0032] Enter as image 3 For the low-resolution image X shown, set the magnification factor λ=1.25, perform bicubic interpolation and amplification on the low-resolution image X, and obtain the pre-amplified image Y o
[0033] Step 2, filter the low-resolution image X.
[0034] Use a Gaussian high-pass filter to filter the input low-resolution image X and decompose it into high-frequency components X h and the low frequency component X o .
[0035] Step 3, using the high frequency component X h , low frequency component X o and the prescaled image Y o , perform super-resolution reconstruction on the input low-resolution image X.
[0036] 3a) In the low frequency component X o Extract low frequency image blocks from X o j ,j=1,...,M, M is the number of low-frequency image blocks, in the pre-a...
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