Hologram Motion Detection for Reduced Reconstruction Load
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Solution Overview
Problem
The use of in-line holographic images for observing biological specimens leads to increased calculation load and longer processing times due to the need for reconstructing images for all frames to accurately calculate area values, which is disadvantageous for systems aiming for wide-range observation.
Innovation Solution
An image processing apparatus and method that includes a motion detector to identify moving targets from holograms, a hologram processing unit to extract relevant portions based on detected motion, and a reconstruction unit to reconstruct images from these portions, thereby reducing the processing load by only reconstructing specific frames with maximum and minimum displacement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Volume of moving object
If in-line holographic images are used for wide-range observation, then system size is reduced, but calculation time increases due to need for reconstructing all frames
Solution Approach 1:
The patent extracts only the necessary portion of holographic data for reconstruction by detecting motion regions first. Instead of reconstructing all frames, it identifies and processes only those frames containing motion, thereby reducing calculation time while maintaining observation capabilities.
Solution Approach 2:
The patent performs motion detection as a preliminary action before image reconstruction. By detecting motion regions in the holographic data first, it prepares a reduced dataset for subsequent reconstruction, avoiding the need to process entire frames and thus reducing overall calculation time.
2Measurement precision
If all frames are reconstructed to calculate area values, then measurement precision is improved, but processing load increases
Solution Approach 1:
The patent extracts only motion-containing regions from holographic frames before reconstruction. By identifying motion regions through detection and excluding static areas, it reduces the amount of data requiring reconstruction while preserving the accuracy needed for area calculation of moving targets.
Solution Approach 2:
The patent applies different processing quality to different regions: motion regions undergo full reconstruction for accurate area measurement, while static regions are handled differently or excluded. This localized approach maintains measurement precision where needed while reducing overall processing load.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach minimizes processing load by selectively reconstructing only the frames with maximum and minimum displacement, allowing for accurate area calculation and reducing computation time, thus enhancing the efficiency of observing biological specimens.
Implementation Method 1
an image sensor configured to detect a hologram by interference between transmitted light and diffracted light obtained by separating the partial coherence light by the observation target
Data Source
AI summary
There is provided an image processing apparatus including a motion detector that detects motion of an observation target from a hologram of the observation target, a hologram processing unit that extracts a portion of the hologram based on a result obtained by detecting the motion of the observation target, and a reconstruction unit that reconstructs an image from a portion of the extracted hologram.