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<p>Conventional teaching methods often find it challenging to connect abstract image processing concepts with practical implementation, limiting accessibility and interactivity in learning. To address this challenge, we propose a digital tool, <i>Image Flare</i>, designed to enhance the teaching and learning experience of image processing. This tool enables educators to effectively demonstrate key concepts such as histogram equalization, image filtering, and noise removal through an intuitive graphical user interface. The application includes key features such as <i>Image Loading, Display Area, Image Manipulation, Tools and Filters, Save</i>, and <i>Undo/Redo</i>, allowing users to seamlessly experiment with different image processing techniques. By catering to students of varying backgrounds and skill levels, the tool simplifies complex techniques, making them more engaging and easier to comprehend. Through hands-on examples and interactive demonstrations, learners gain a deeper understanding of both the theoretical foundations and real-world applications of image processing. This approach fosters greater interest, improves comprehension, and encourages exploration of advanced topics in the field. This paper presents a behavioral study to find the effect of the application on students’ perceived learning and knowledge gains. Participants completed a survey after interacting with the application, and the collected responses were analyzed using paired-samples t-tests. The statistical analysis demonstrates a significant improvement in perceived experiential learning.</p>

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Image flare: an interactive and dynamic learning platform for intuitive image processing

  • 期刊论文

  • 发表日期：

    2026年5月14日

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  • Indrajeet Patel,
  • Sonu Bodat,
  • Meera Thapar Khanna,
  • Shilpa Pandey

摘要

Conventional teaching methods often find it challenging to connect abstract image processing concepts with practical implementation, limiting accessibility and interactivity in learning. To address this challenge, we propose a digital tool, Image Flare, designed to enhance the teaching and learning experience of image processing. This tool enables educators to effectively demonstrate key concepts such as histogram equalization, image filtering, and noise removal through an intuitive graphical user interface. The application includes key features such as Image Loading, Display Area, Image Manipulation, Tools and Filters, Save, and Undo/Redo, allowing users to seamlessly experiment with different image processing techniques. By catering to students of varying backgrounds and skill levels, the tool simplifies complex techniques, making them more engaging and easier to comprehend. Through hands-on examples and interactive demonstrations, learners gain a deeper understanding of both the theoretical foundations and real-world applications of image processing. This approach fosters greater interest, improves comprehension, and encourages exploration of advanced topics in the field. This paper presents a behavioral study to find the effect of the application on students’ perceived learning and knowledge gains. Participants completed a survey after interacting with the application, and the collected responses were analyzed using paired-samples t-tests. The statistical analysis demonstrates a significant improvement in perceived experiential learning.