Dynamic Thermal Image Enhancement Using Wavelet-Based Adaptive Fusion

Khaleel, Almas Ahmed

doi:10.24271/psr.2025.494834.1861

Dynamic Thermal Image Enhancement Using Wavelet-Based Adaptive Fusion

Document Type : Original Article

Author

almas Ahmed khaleel

Department of Mathematics, College of Basic Education, University of Mosul, Mosul 41001, Iraq.

10.24271/psr.2025.494834.1861

Abstract

The research introduces a wavelet-based adaptive fusion approach for thermal image enhancement that delivers superior outcomes compared to conventional strategies, including HE, CLAHE and gamma correction when considering edge preservation and details. The method utilizes wavelet transformation to enhance contrast with fine-scale preservation and noise elimination, making it appropriate for real-time applications. Experimental evaluation shows that adaptive Fusion provides a PSNR of 32.78 dB and MSE of 159.45, together with an SSIM of 0.792. An entropy of 8.15 also represents good image information preservation. The presented method demonstrates robust capabilities for monitoring tasks and medical diagnosis alongside industrial inspecting operations and reduces computational difficulties commonly found in previous methodologies.

Keywords

Thermal Image Enhancement

Image Intensity Enhancement

Histogram Equalization

CLAHE (Contrast Limited Adaptive Histogram Equalization)

Gamma Correction

Edge Enhancement

Wavelet Fusion