Block-based Multi-scale Haze Image Enhancement Method for Surveillance Application

被引：0

作者：

Voronin, V. ^{[1
]}

Zhdanova, M. ^{[1
]}

Khamidullin, I ^{[1
]}

Tokareva, O. ^{[1
]}

Zelensky, A. ^{[1
]}

Semenishchev, E. ^{[1
]}

机构：

[1] Moscow State Univ Technol STANKIN, Ctr Cognit Technol & Machine Vis, Moscow, Russia

来源：

COUNTERTERRORISM, CRIME FIGHTING, FORENSICS, AND SURVEILLANCE TECHNOLOGIES VI | 2022年 / 12275卷

基金：

俄罗斯科学基金会;

关键词：

dehazing; surveillance; image enhancement; block-rooting; frequency domain; CONTRAST ENHANCEMENT; FUSION;

D O I：

10.1117/12.2641136

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Images captured in surveillance systems suffer from low contrast and faint color. Recently, plenty of dehazing algorithms have been proposed to enhance visibility and restore color. We present a new image enhancement algorithm based on multi-scale block-rooting processing. The basic idea is to apply the frequency domain image enhancement approach for different image block scales. The parameter of transform coefficient enhancement for every block is driven through optimization of measure of enhancement. The main idea is that enhancing the contrast of an image would create more high-frequency content in the enhanced image than the original image. To test the performance of the proposed algorithm, the public database O-HAZE is used.

引用

页数：7

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