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Updated: Jul 7, 2026
10:16
Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects
Published on: February 8, 2014
Holographic representations of images
A M Bruckstein1, R J Holt, A N Netravali
1Technion-Israel Inst. of Technol., Haifa. freddy@cs.technion.ac.il
Summary
New holographic image representations allow for whole image reconstruction from arbitrary portions. This offers progressive refinement in image communication and retrieval, regardless of data fragment order.
Area of Science:
- Computer Vision
- Digital Image Processing
- Information Theory
Background:
- Traditional image representations often require complete data for reconstruction.
- Distributed systems present challenges for efficient image data handling.
- Progressive image refinement is crucial for real-time applications.
Purpose of the Study:
- Introduce a novel holographic image representation.
- Highlight its advantages for distributed environments.
- Demonstrate its utility in progressive image communication and retrieval.
Main Methods:
- Development of a new holographic image representation scheme.
- Analysis of image reconstruction from partial data.
- Evaluation of distortion characteristics based on data portion size.
Main Results:
- Holographic representations enable full image reconstruction from arbitrary portions.
- Reconstruction fidelity improves progressively with larger data portions.
- Data fragments can be accessed or become available in any order.
Conclusions:
- Holographic representations offer robust image reconstruction in distributed systems.
- This method facilitates flexible and efficient image communication and retrieval.
- The progressive nature of reconstruction supports adaptive data handling.
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