An improved seam carving method for enhancing the visual field of tunnel vision patients
Dina El-Torky, Salsabil El-Regaily, Ahmad Moadamani, Ahmed Osama, Alaa Mostafa, Amira Yasser, Mosaab Ghaley, Shahd Ashraf, Maryam Al-Berry, Zaki Fayed

TL;DR
This paper introduces a modified seam carving method to improve the visual field for tunnel vision patients by preserving important image details.
Contribution
The novel contribution is a multiscale image fusion-based seam carving method that improves visual retargeting for tunnel vision patients.
Findings
The method achieved a 30.8% improvement in composite quality metrics over existing retargeting methods.
Statistical analysis confirmed significant improvements in structural, perceptual, and feature-based metrics (p<0.001).
Abstract
Visual impairment has various forms all of which negatively affect the patient’s daily activities and prevent performing simple actions like walking safely in a street. Content-aware image retargeting can be used to enhance the scene for patients who have limited visual field i.e. tunnel vision. A modified Seam Carving method is presented in this research paper which can decrease the width of the input image to fit in the patient’s angle of vision while preserving the important objects in the original image as well as the image details. The method enhanced the original Seam Carving by calculating the energy map using multiscale image fusion that combines depth, saliency, foreground segmentation, and edge detection features, and used a forward-middle approach for the seam removal step. The results showed efficiency that outperformed various retargeting methods, achieving a 30.8%…
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Taxonomy
TopicsVisual Attention and Saliency Detection · Image and Video Quality Assessment · Image Enhancement Techniques
