Interference Fringe Image Reconstruction With Local Focus Search
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Solution Overview
Problem
Existing digital holography methods face inefficiencies in searching for an in-focus position due to the need for initial reconstruction at an inappropriate position, leading to unclear images and increased calculation loads through filtering processing.
Innovation Solution
An information processing device that reconstructs images by acquiring local area information, changing reconstruction positions, calculating sharpness, and outputting optimal images at in-focus positions, thereby improving search efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If filtering processing is performed to improve the image quality of the primary reconstructed image, then the image quality is improved, but the calculation load increases and search efficiency decreases
Solution Approach 1:
The patent divides the image processing into two distinct phases: (1) generating a primary reconstructed image using a preliminary reconstruction position for object specification, and (2) generating a final reconstructed image using an optimized reconstruction position determined through sharpness evaluation. This segmentation allows filtering to be applied only to the primary image for object detection purposes, while the final high-quality image is generated separately, thus maintaining search efficiency while ensuring image quality when needed.
Solution Approach 2:
The patent performs preliminary reconstruction processing to generate a primary reconstructed image that is sufficient for specifying the object to be observed. This preliminary action enables object identification without requiring high image quality, allowing the system to proceed with in-focus position detection efficiently. The final high-quality reconstruction is then performed based on the object specification and detected in-focus position, separating the preliminary identification task from the final quality generation task.
2Reliability
If reconstruction processing is performed across the entire image area to ensure complete coverage, then all objects are captured, but the search time for in-focus position increases
Solution Approach 1:
The patent segments the image processing into two stages: first, generating a primary reconstructed image covering the entire area to specify objects; second, performing focused reconstruction processing only in the local area where the specified object is located. This segmentation ensures complete object detection in the first stage while reducing the search time in the second stage by limiting the reconstruction scope to the relevant local area only.
Solution Approach 2:
The patent applies different processing qualities to different regions: the primary reconstructed image covers the entire area with sufficient quality for object specification, while the final reconstructed image concentrates computational resources on the local area containing the specified object at high quality. This local quality approach ensures complete coverage for detection while minimizing overall processing time by avoiding full-area high-quality reconstruction.
3Ease of operation
If a preliminary reconstructed image is generated at an irrelevant reconstruction position for object specification, then the object can be specified, but the image quality becomes poor making it difficult to appropriately specify the area
Solution Approach 1:
The patent separates object specification from high-quality image generation by using two different reconstruction approaches: a primary reconstructed image generated at a preliminary reconstruction position for object specification purposes, and a final reconstructed image generated at an optimized reconstruction position determined through sharpness evaluation. This segmentation allows the system to proceed with object specification using the primary image while ensuring that the final output image achieves high quality through subsequent focused processing.
Solution Approach 2:
The patent performs preliminary reconstruction processing to generate an initial image sufficient for identifying and specifying the object of interest. This preliminary action enables the system to locate the target object without requiring optimal image quality, and then uses this specification information to guide subsequent focused reconstruction processing that generates the high-quality final image, thus resolving the contradiction between preliminary identification and final quality requirements.
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
Enhances the efficiency of finding in-focus positions by optimizing image reconstruction and reducing computational load.
Implementation Method 1
an interference fringe image obtained by the imaging
Implementation Method 2
the object to be observed is imaged by using a light source that emits coherent light
Data Source
AI summary
An information processing device that reconstructs an original image including an interference fringe image of at least one object to be observed is provided. The information processing device includes at least one processor that is configured to: acquire local area information representing a local area including the interference fringe image in the original image; generate a reconstructed image while changing a reconstruction position in the local area; calculate sharpness of the reconstructed image each time the reconstructed image is generated and detect an in-focus position where the sharpness is maximized; and output the reconstructed image at the in-focus position as an optimal reconstructed image.