Paper Title
Homomorphic Filters
Article Identifiers
: Authors
Keywords
Filters
Abstract
Homomorphic filtering represents a sophisticated image enhancement technique widely employed in various fields of image processing. This technique operates in the frequency domain, leveraging the Fourier transform to manipulate the frequency components of an image. At its core, homomorphic filtering aims to decompose an image into two distinct components: illumination and reflectance. Illumination encapsulates the global lighting conditions or overall brightness variations, while reflectance represents the intrinsic properties of the objects in the scene. The key idea behind homomorphic filtering is to separate these components to facilitate targeted adjustments for enhancing image contrast and quality. This abstract provides an overview of homomorphic filtering, including its fundamental principles, operational mechanisms, and practical applications in fields such as biomedical imaging, remote sensing, forensic analysis, and document processing. Additionally, it highlights the significance of careful parameter tuning and consideration of input image characteristics to achieve optimal results. Homomorphic filtering emerges as a powerful tool for addressing challenges posed by non-uniform lighting conditions, shading, and uneven contrast, offering transformative solutions for image enhancement in diverse domains.
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How To Cite (APA)
Abhilash V Pandiankal, Ligin Joy , Kishore, Vineeth Kumar V , & Siji Jacob (March-2024). Homomorphic Filters . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(3), d547-d551. https://ijnrd.org/papers/IJNRD2403373.pdf
Issue
Volume 9 Issue 3, March-2024
Pages : d547-d551
Other Publication Details
Paper Reg. ID: IJNRD_215649
Published Paper Id: IJNRD2403373
Downloads: 000122014
Research Area: Science & Technology
Author Type: Indian Author
Country: Kottayam, Kerala, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2403373.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403373
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