An image enhancement processing method, device and equipment of a time-frequency diagram and a medium

CN122243759APending Publication Date: 2026-06-19成都华日通讯技术股份有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
成都华日通讯技术股份有限公司
Filing Date
2026-02-28
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Existing image enhancement methods struggle to effectively suppress noise while preserving signal features when processing time-frequency maps, resulting in low enhancement accuracy.

Method used

By constructing an initial amplitude matrix, invalid data is removed based on preset frequency band thresholds and quantity thresholds, the target amplitude threshold is calculated, a target fusion model is used for nonlinear mapping, and grayscale mapping is performed to generate a standardized 8-bit grayscale enhanced image.

Benefits of technology

It improves the efficiency and accuracy of time-frequency image enhancement processing, enhances the separation of signal and noise, and improves the accuracy of signal recognition, making it suitable for low signal-to-noise ratio environments.

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Abstract

This application provides a method, apparatus, device, and medium for image enhancement processing of time-frequency maps, applicable to the field of image enhancement processing technology. It addresses the problem of low accuracy in existing image enhancement processing due to uneven distribution of time-frequency maps and severe background noise interference. The method includes: constructing an initial amplitude matrix and clearing its elements to obtain a target amplitude matrix; sorting the elements of the target amplitude matrix in ascending order to obtain a matrix amplitude sequence, and calculating a target amplitude threshold based on multiple signal amplitudes in the matrix amplitude sequence; determining the corresponding image matrix based on the signal amplitudes and the target amplitude threshold in the target amplitude matrix, and substituting the image matrix into a target fusion model to obtain a target enhancement matrix; performing grayscale mapping on the target enhancement matrix to obtain a corresponding grayscale matrix, and performing image transformation based on the grayscale matrix to obtain the target enhanced image; thus improving the accuracy of image enhancement processing.
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