Advancements in Holographic Image Enhancement: Leveraging Advanced Fresnel Algorithm for Improved Reconstructed Image Quality

This work focuses on enhancing the image quality of received holographic images in secure communication systems by utilizing an advanced Fresnel algorithm. Moreover, the work extends its investigation into refining the quality of reconstructed holographic images, delving deeper into methodologies to enhance their visual fidelity and overall perceptual clarity. The Fresnel algorithm, known for its fast processing and high-quality reconstruction, forms the backbone of our proposed method. Analyzing the algorithm's parameters and optimizing the hologram reconstruction and receiving process aims to mitigate artifacts and distortions, thereby achieving highly improved image quality of the received holographic image. Our approach leverages advanced computational techniques to enhance the resolution, contrast, and overall visual clarity of reconstructed holographic images. Through rigorous experimentation and comparative analysis, we demonstrate the efficacy of our proposed method in significantly improving the image quality of received holographic data. This research contributes to the ongoing development of secure communication systems, offering practical insights and methodologies for advancing the capabilities of computer-generated holography in real-world applications.

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Publication Details

Published
2024-09-12
DOI
https://doi.org/10.1109/peeiacon63629.2024.10800242
Citations
1
Primary Topic
Image Enhancement Techniques
Type
article
Field-Weighted Citation Impact
0.25
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article

Advancements in Holographic Image Enhancement: Leveraging Advanced Fresnel Algorithm for Improved Reconstructed Image Quality

S. M. Abdur Razzak, Rakib Hossain
1 citations
Image Enhancement Techniques
0.25
article

Advancements in Holographic Image Enhancement: Leveraging Advanced Fresnel Algorithm for Improved Reconstructed Image Quality

S. M. Abdur Razzak, Rakib Hossain
article en
1 citations

Abstract

This work focuses on enhancing the image quality of received holographic images in secure communication systems by utilizing an advanced Fresnel algorithm. Moreover, the work extends its investigation into refining the quality of reconstructed holographic images, delving deeper into methodologies to enhance their visual fidelity and overall perceptual clarity. The Fresnel algorithm, known for its fast processing and high-quality reconstruction, forms the backbone of our proposed method. Analyzing the algorithm's parameters and optimizing the hologram reconstruction and receiving process aims to mitigate artifacts and distortions, thereby achieving highly improved image quality of the received holographic image. Our approach leverages advanced computational techniques to enhance the resolution, contrast, and overall visual clarity of reconstructed holographic images. Through rigorous experimentation and comparative analysis, we demonstrate the efficacy of our proposed method in significantly improving the image quality of received holographic data. This research contributes to the ongoing development of secure communication systems, offering practical insights and methodologies for advancing the capabilities of computer-generated holography in real-world applications.

University of Rajshahi (BD)
Affordable and clean energy
Openalex Percentile: Top 43%
Image Enhancement Techniques
0.25
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