Image enhancement based on multi-scale transform domain technique for visual surveillance application

A. Zelensky; V. Voronin; N. Gapon; E. Semenishchev; S. Voronina; Yu. Ilyukhin

doi:10.1117/12.2641694

28 October 2022 Image enhancement based on multi-scale transform domain technique for visual surveillance application

A. Zelensky, V. Voronin, N. Gapon, E. Semenishchev, S. Voronina, Yu. Ilyukhin

Proceedings Volume 12275, Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies VI; 122750L (2022) https://doi.org/10.1117/12.2641694
Event: SPIE Security + Defence, 2022, Berlin, Germany

Conference Poster

Abstract

Image enhancement refers to processing images to make them more suitable for display or further image analysis. An enhancement procedure improves future automated image-processing steps (detection, segmentation, and recognition) for efficient system decision-making. This paper presents a new method of visual surveillance image enhancement that improves the visual quality of digital images that exhibit dark shadows due to the limited dynamic range of imaging. The proposed method base on 3-D block-rooting multi-scale transform domain technique, comprising: finding similar blocks in the image by block-matching; block-grouping for different block sizes; applying 3-D block-matching parametric image enhancement; calculating the quality measure of enhancement; optimizing parameters of image enhancement method through the quality measure of enhancement; fusing different enhanced images. Experimental results from test data set show that the proposed technique performs well and can improve the quality during the sharpening of the image details.

Citation Download Citation

A. Zelensky, V. Voronin, N. Gapon, E. Semenishchev, S. Voronina, and Yu. Ilyukhin "Image enhancement based on multi-scale transform domain technique for visual surveillance application", Proc. SPIE 12275, Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies VI, 122750L (28 October 2022); https://doi.org/10.1117/12.2641694

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