Image enhancement using Segement anything model

  • Unique Paper ID: 170725
  • PageNo: 1440-1445
  • Abstract:
  • This paper presents a method for image enhancement that is accessible even to those with limited expertise. We integrate three techniques: the SAM model, fuzzy logic, and style shift. Think of the SAM model as an intelligent tool breaking down images into distinct parts, which are then individually refined. Fuzzy logic comes into play when addressing fuzzy or unclear areas, ensuring precise correction only where needed. To ensure visual harmony, style shift is employed to match colors and styles across the entire image.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{170725,
        author = {Vishal Vinay Ram},
        title = {Image enhancement using Segement anything model},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {7},
        pages = {1440-1445},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=170725},
        abstract = {This paper presents a method for image enhancement that is accessible even to those with limited expertise. We integrate three techniques: the SAM model, fuzzy logic, and style shift. Think of the SAM model as an intelligent tool breaking down images into distinct parts, which are then individually refined. Fuzzy logic comes into play when addressing fuzzy or unclear areas, ensuring precise correction only where needed. To ensure visual harmony, style shift is employed to match colors and styles across the entire image.},
        keywords = {},
        month = {December},
        }

Cite This Article

Ram, V. V. (2024). Image enhancement using Segement anything model. International Journal of Innovative Research in Technology (IJIRT), 11(7), 1440–1445.

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