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Author

Mahda Laina Arnumukti

2 papers indexed here

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Conference Sep 2026

Deep Residual Attention U-Net for Cross-Dataset Image Denoising and Restoration

Real-world images are often noisy. Noises may come from sensor limitations, low illuminations, and other factors. Regardless of the sources, noises degrade image's quality and often affect the accuracy of later analysis in computer vision. To solve this, various denoising methods have been proposed. However, many of th...

Kok Swee Sim, Iksan Bukhori, Mahda Laina Arnumukti et al. · 0 citations
Open access Aug 2026

Objective Motion Tracking for Rehabilitation: Quantitative Assessment Using Pose Estimation

A motion measurement system that improves body positioning by using computer vision techniques to quantitatively assess elbow flexibility and range of motion during rehabilitation, using a novel posture estimation model.

Kok Swee Sim, Mahda Laina Arnumukti · 0 citations

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