Research on Filtering Denoising Algorithm in Trace Image Enhancement Technology

With the rapid development of technology, trace image enhancement techniques are playing an increasingly important role in modern criminal investigation work. This article focuses on the rapid and accurate identification of trace images at crime scenes and studies the performance of various filters in noise removal during image smoothing processing. Through a comparative analysis of a series of experimental dates, it is found that the Wiener filter demonstrates the best technical effect in enhancing the clarity of trace images, laying a solid theoretical foundation for subsequent edge detection and feature segmentation of trace images.

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Publication Details

Published
2025-03-21
DOI
https://doi.org/10.1109/sgai64825.2025.11009547
Primary Topic
Advanced Computing and Algorithms
Type
article
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article

Research on Filtering Denoising Algorithm in Trace Image Enhancement Technology

Hanxin Zhang
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Advanced Computing and Algorithms
article

Research on Filtering Denoising Algorithm in Trace Image Enhancement Technology

Hanxin Zhang
article en

Abstract

With the rapid development of technology, trace image enhancement techniques are playing an increasingly important role in modern criminal investigation work. This article focuses on the rapid and accurate identification of trace images at crime scenes and studies the performance of various filters in noise removal during image smoothing processing. Through a comparative analysis of a series of experimental dates, it is found that the Wiener filter demonstrates the best technical effect in enhancing the clarity of trace images, laying a solid theoretical foundation for subsequent edge detection and feature segmentation of trace images.

Criminal Investigation Police University of China (CN)
Openalex Percentile: Top 84%
Advanced Computing and Algorithms
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