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Image Processing Techniques: The Impact and Applications of Grayscale Transformations

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  • Sumana Chakraborty
Sumana Chakraborty
Assistant Professor, Department of Computer Science and Engineering, Swami Vivekananda University

Published 2025-12-22

Keywords

  • Image Processing,
  • Gray scale conversion,
  • Monochrome,
  • Image,
  • Matlab

How to Cite

Chakraborty, Sumana. “Image Processing Techniques: The Impact and Applications of Grayscale Transformations”. Swami Vivekananda University Press, Dec. 2025, pp. 68-71, https://swamivivekanandauniversitypress.com/index.php/svup/article/view/213.

Copyright (c) 2025 Swami Vivekananda University Press

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Abstract

An image is comprised of a multitude of pixels, alongside several fundamental parameters, including color and monochromatic attributes (often referred to as black-and-white properties). Image processing techniques are employed to manipulate and process these images. Consequently, im­age processing serves as a core function within the broader domain of signal processing. One pivotal aspect of image pro­cessing is the conversion of images to grayscale. This transfor­mation is essential to mitigate the complexity and computa­tional burden associated with the three-dimensional nature of RGB (color) data, which significantly complicates signal pro­cessing operations. Therefore, this study will delve into the advantages of grayscale imagery and explore its applications within the field of image processing.

DOI - https://doi.org/10.65525/SVUP.9788199565463.2026.68-71

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