Anuj Bhardwaj
Department of Mathematics, Jaypee Institute of Information Technology, 201309, Noida, India.

Neha Chandra
Department of Mathematics, Jaypee Institute of Information Technology, 201309, Noida, India.

DOI https://doi.org/10.33889/IJMEMS.2026.11.3.059

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Abstract

Medical imaging is essential for obtaining precise information to assess patient health and provide effective treatment. The initial analysis of a wide range of medical images is vital for identifying abnormalities. However, limitations during the image acquisition process can lead to poor image quality. To address the issues of reduced information and contrast in medical images, the proposed method is designed. The method integrates the spatial frequencies (SF) of both the original image and the image enhanced through Triple Clipped Dynamic Histogram Equalization (TCDHE). Additionally, the discrete wavelet transform and singular value decomposition are applied simultaneously to both images to obtain an improvement factor (gamma), which controls the contrast enhancement rate. The use of spatial frequencies helps preserve the detailed components of an image, such as edges and sharp features. For experimental purposes, three types of datasets are utilized, including MRI, X-ray, and ultrasound. Objective evaluation is performed using seven performance metrics: AMBE, PSNR, SSIM, GMSD, REC, entropy, and subjective evaluation with a mean opinion score. The experimental results demonstrate that AMBE (4.08), SSIM (0.99), PSNR (37.67 dB), and GMSD (0.13) are the best among state-of-the-art methods. However, the results for REC and entropy are comparable to those of state-of-the-art methods. Furthermore, the average values of all performance parameters have been computed across three categories of medical datasets to demonstrate the efficacy of the proposed method.

Keywords- Contrast enhancement, Discrete wavelet transform, Mean opinion score, SVD, Medical image.

Citation

Bhardwaj, A., & Chandra, N. (2026). Medical Image Enhancement using Modified HE with DWT and SVD. International Journal of Mathematical, Engineering and Management Sciences, 11(3), 1444-1464. https://doi.org/10.33889/IJMEMS.2026.11.3.059.