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In order to make digital pictures accessible to those with visual impairments, a process known as "image to audio conversion" converts them into audible files. In this research, we present a novel approach to converting visuals to sound with the use of digital image processing. The suggested approach for turning digital photos into audio files utilises segmentation, feature extraction, and audio synthesis methods. Using a publically accessible dataset, the system was built and tested to demonstrate that the suggested technique can successfully convert photos to audio files with a high degree of precision. This device provides a low-cost, non-invasive option for people with visual impairments to see and interact with digital pictures, which may have a profound impact on their independence and happiness. This study's results show the promise of applying digital image processing methods to the age-old problem of converting visuals to audible forms, with applications ranging from the pedagogical to the artistic.
"IMAGE TO AUDIO CONVERSION USING DIGITAL IMAGE PROCESSING", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 4, page no.556 - 560, April-2023, Available :http://www.ijrti.org/papers/IJRTI2304093.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator