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Computer Science > Computer Vision and Pattern Recognition

arXiv:2401.03157 (cs)
[Submitted on 6 Jan 2024]

Title:ImageLab: Simplifying Image Processing Exploration for Novices and Experts Alike

Authors:Sahan Dissanayaka, Oshan Mudanayaka, Thilina Halloluwa, Chameera De Silva
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Abstract:Image processing holds immense potential for societal benefit, yet its full potential is often accessible only to tech-savvy experts. Bridging this knowledge gap and providing accessible tools for users of all backgrounds remains an unexplored frontier. This paper introduces "ImageLab," a novel tool designed to democratize image processing, catering to both novices and experts by prioritizing interactive learning over theoretical complexity. ImageLab not only serves as a valuable educational resource but also offers a practical testing environment for seasoned practitioners. Through a comprehensive evaluation of ImageLab's features, we demonstrate its effectiveness through a user study done for a focused group of school children and university students which enables us to get positive feedback on the tool. Our work represents a significant stride toward enhancing image processing education and practice, making it more inclusive and approachable for all.
Comments: 13 pages, 9 Figures, 1 Table
Subjects: Computer Vision and Pattern Recognition (cs.CV)
Cite as: arXiv:2401.03157 [cs.CV]
  (or arXiv:2401.03157v1 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2401.03157

Submission history

From: Sahan Dissanayaka Mr [view email]
[v1] Sat, 6 Jan 2024 08:27:28 UTC (4,209 KB)
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