Enhance the Image in Digital Holography by Using an Artificial Neural Network and an Iterative Algorithm
Abstract & Details
Research Area
COMPUTER SCIENCE
Keywords
Deep Learning
Digital Holography
Computer-Generated Holography
Neural Networks
Object Recognition.
Abstract
The abundance of information provided by the optical field's amplitude and phase have been found to aid deep learning algorithms substantially. Image reconstruction, zero-order suppression, and hologram fabrication are all possible applications for these approaches. Methods to improve digital and computer-generated holism are examined in this work. From a single intensity-only picture, a deep learning model may be used to generate diffractive optical components. The produced diffractive optical elements have been proved to be of acceptable quality by numerical assessment of the model's performance. Coherent imaging systems may now be used in a wide range of biological and technical research and associated applications thanks to these recent advancements.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Dr. Shobha Bhatia | Assistant Professor, Department of Computer Science, DAV Institute of Management, Faridabad |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Bhatia, Dr. Shobha (2022). Enhance the Image in Digital Holography by Using an Artificial Neural Network and an Iterative Algorithm. International Journal of Advance Research and Innovative Ideas In Education, 8(3), 5545-5551.
MLA Style
Bhatia, Dr. Shobha. "Enhance the Image in Digital Holography by Using an Artificial Neural Network and an Iterative Algorithm." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, 2022, pp. 5545-5551.
IEEE Style
Dr. Shobha Bhatia, "Enhance the Image in Digital Holography by Using an Artificial Neural Network and an Iterative Algorithm," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, pp. 5545-5551, 2022.
Vancouver Style
Bhatia Dr. Shobha. Enhance the Image in Digital Holography by Using an Artificial Neural Network and an Iterative Algorithm. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(3):5545-5551.
Harvard Style
Bhatia, Dr. Shobha (2022) 'Enhance the Image in Digital Holography by Using an Artificial Neural Network and an Iterative Algorithm', International Journal of Advance Research and Innovative Ideas In Education, 8(3), pp. 5545-5551.
Chicago Style
Bhatia, Dr. Shobha. "Enhance the Image in Digital Holography by Using an Artificial Neural Network and an Iterative Algorithm." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 5545-5551.
Turabian Style
Bhatia, Dr. Shobha. "Enhance the Image in Digital Holography by Using an Artificial Neural Network and an Iterative Algorithm." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 5545-5551.
Related Research
CYBERSECURITY WITH AI
PDF Unavailable
DESIGN AND IMPLEMENTATION OF A SECURE IMAGE STEGANOGRAPHY SYSTEM USING LSB AND CRYPTOGRAPHY
PDF Unavailable
A NOVEL HYBRID IMAGE STEGANOGRAPHY TECHNIQUE BASED ON LSB AND CRYPTOGRAPHIC SECURITY
PDF Unavailable
BioPrint AI: An Intelligent Deep Learning and Computer Vision Based Blood Group Identification System Using Fingerprint Patterns
PDF Unavailable
AnimalAid AI: A Deep Learning Powered Early Warning System for Detecting Skin Infections and Diseases in Stray Dogs
PDF Unavailable
LiverCare AI: Intelligent Medical Imaging Platform for Liver Tumor Detection and Clinical Guidance
PDF Unavailable