Enhancement processing method of spectral image for dilute nitric acid element determination
By employing grayscale preprocessing, nonlocal search window weighted aggregation, and multi-scale wavelet transform, combined with an adaptive noise discrimination threshold, the problem of signal and noise being difficult to distinguish in existing technologies is solved. This achieves efficient enhancement processing of spectral images for dilute nitrate element determination, improving spectral resolution and signal preservation capabilities.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- JIANGSU SUPERVISION & INSPECTION INST FOR PROD QUALITY
- Filing Date
- 2026-03-19
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to effectively distinguish between signal and noise when processing spectral images from dilute nitric acid element determination, leading to decreased spectral resolution and distorted signal intensity information. In particular, weak signals in low-concentration samples are easily misjudged as noise and filtered out.
The method employs grayscale preprocessing, nonlocal search window weighted aggregation, multi-scale continuous wavelet transform, and adaptive noise discrimination threshold. By calculating the spectral anisotropy weighted distance and local singularity index, the signal and noise are distinguished, and the wavelet coefficients are nonlinearly amplified or suppressed to reconstruct and enhance the image.
It effectively maintains the sharpness of spectral peak edges, improves the sensitivity and accuracy of low-concentration element determination, and enhances the signal-to-noise ratio and spectral resolution.
Smart Images
Figure CN122415341A_ABST