Design method of time-varying separable non-downsampled filter bank based on iterative calculation
A non-subsampling and iterative computing technology, which is applied in the design field of time-varying separable non-subsampling image filter banks, can solve problems such as difficult processing of time-varying image signals, and achieve low iteration times and good denoising performance
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
example 1
[0078] The present invention at first designs analysis filter bank, and analysis filter bank is produced by formula (4)-(7) structure, when the length K of graph filter T =1,K G = 1, its joint frequency response is as follows image 3 As shown, using the measured temperature data of the United States for one year as the input signal, the temperature map structure is constructed by the nearest distance method, and the adjacency matrix A G set to A G (i,j)=1 / (Dist i,j ) 2 , if node i and node j are not the same node and connected by an edge, otherwise A G (i, j) = 0, Dist i,j Indicates the distance between node i and node j, and then uses the iterative calculation method to reconstruct the output signal. Table 2 shows the number of iterations and the reconstructed SNR of the iterative calculation method for designing a time-varying non-subsampling image filter bank in the present invention. Experimental results show that the designed graph filter banks have complete recon...
example 2
[0082] When K T =1,K G =1, r=1, ε=10- 4 When , the time-varying non-subsampling filter bank is used to denoise the time-varying image signal, and the noise is uniform random noise. The time-varying map signal takes the sea surface temperature network signal from January to May 2014 as an example. The hard threshold method is used for denoising experiments, where the hard thresholds of the three channels of LH, HL, and HH are respectively selected as τ=0.5σ, τ=σ, τ=3σ, and σ is the noise standard deviation. Among them, the existing method 1 (critically sampled bi-orthogonal graph filter bank) and the existing method 2 (image signal denoising based on spectral domain trilateral filter) select the sea level temperature network signal in March 2014 for denoising. Table 3 shows the comparison of the denoising signal-to-noise ratio between the present invention and the existing graph filter and graph filter bank when the noise standard deviation σ takes different values. The sim...
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