ILACS-LGOT: A Multi-Layer Contrast Enhancement Approach for Palm-Vein Images

TL;DR

This paper introduces ILACS-LGOT, an advanced contrast enhancement technique for palm-vein images that improves image quality by reducing artifacts and enhancing features, with extensive evaluations demonstrating its superiority over existing methods.

Contribution

The paper presents ILACS-LGOT, a novel multi-layer contrast enhancement method for palm-vein images, with detailed analysis and improved performance over prior techniques.

Findings

ILACS-LGOT effectively enhances palm-vein images.

The method reduces blocky artifacts and improves feature visibility.

Extensive evaluations show superior performance over existing methods.

Abstract

This article presents an extended author's version based on our previous work, where we introduced the Multiple Overlapping Tiles (MOT) method for palm vein image enhancement. To better reflect the specific operations involved, we rename MOT to ILACS-LGOT (Intensity-Limited Adaptive Contrast Stretching with Layered Gaussian-weighted Overlapping Tiles). This revised terminology more accurately represents the method's approach to contrast enhancement and blocky effect mitigation. Additionally, this article provides a more detailed analysis, including expanded evaluations, graphical representations, and sample-based comparisons, demonstrating the effectiveness of ILACS-LGOT over existing methods.