Correlation Plenoptic Imaging Decouples Spatial Angular Resolution
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Solution Overview
Problem
Conventional plenoptic image capturing techniques produce low-resolution images due to the inverse proportionality between spatial and angular resolutions, limiting the number of high-resolution views and depth of field, and lack real-time monitoring capabilities during capture.
Innovation Solution
The Correlation Plenoptic Imaging (CPI) process involves splitting the light beam into two distinct beams to decouple spatial and angular measures, allowing for high-resolution image capture with real-time monitoring and adjustable depth of field by using a main focal lens and two distinct sensors, with the light source emitting chaotic light to optimize image resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single sensor is used to simultaneously capture spatial and angular measures in conventional plenoptic imaging, then both spatial and angular information can be obtained, but the spatial resolution is sacrificed for angular measure resulting in low-resolution images
Solution Approach 1:
The patent divides the single sensor into two separate sensors: a first sensor for capturing spatial measures and a second sensor for capturing angular measures. This segmentation allows each sensor to be optimized for its specific function, with the first sensor capturing high-resolution spatial information and the second sensor capturing angular information, thereby resolving the contradiction between spatial and angular resolution.
Solution Approach 2:
The patent introduces a temporal dimension by capturing images at different times with the two sensors. The first sensor captures spatial information at one time, while the second sensor captures angular information at the same time, and the data is combined through correlation processing. This temporal separation allows both high spatial and angular resolution without the compromise inherent in single-sensor systems.
2Adaptability or versatility
If conventional plenoptic imaging uses a microlens array to capture both spatial and angular measures, then three-dimensional reconstruction is enabled, but the resolution of captured images is well below the diffraction limit
Solution Approach 1:
The patent extracts the microlens array from the optical path and replaces it with a single main lens. The spatial and angular information extraction is achieved through computational correlation processing of images captured by two separate sensors, rather than through optical means. This extraction of the microlens function allows the system to achieve diffraction-limited resolution while maintaining three-dimensional reconstruction capability.
Solution Approach 2:
The patent replaces the mechanical microlens array system with a computational correlation system using two sensors. Instead of using optical elements to separate and redirect light paths, the system uses digital signal processing to extract spatial and angular information from correlated sensor data, thereby achieving higher resolution limited only by diffraction.
3Ease of operation
If conventional imaging techniques use lenses to select focal plane and depth of field, then two-dimensional representation is obtained, but the three-dimensional representation and post-capture adjustment capability are limited
Solution Approach 1:
The patent enables dynamic adjustment of focal plane and depth of field after image capture by using correlation processing of the two sensor inputs. The system can computationally refocus images at different depths without requiring physical lens movement or complex optical adjustments, providing flexible post-capture control while keeping the optical system relatively simple.
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 achieves maximum resolution allowed by the diffraction limit, enabling high-resolution images with adjustable depth of field and real-time monitoring, while decoupling spatial and angular resolutions to provide a linear relationship between them, thus overcoming the limitations of conventional plenoptic devices.
Implementation Method 1
a light source adapted to emit a first beam of chaotic light having known statistics
Implementation Method 2
a main focal lens arranged along the light's optical path between the scene and the first sensor means
Data Source
Figure 1
Figure 2~3
Figure 4~5A
AI summary
A process and device for the plenoptic capture of photographic or cinematographic images are described, both based on the correlation measure or "Correlation Plenoptic Imaging" (CPI), comprising the steps of splitting a primary light beam (6) coming from at least one light source in at least two distinct light beams (7, 8), directing said distinct light beams towards two image capturing sensors to capture images, so that the first light beam is directed towards at least one first capturing sensor to capture a spatial measure of a scene and the second light beam is directed towards a second capturing sensor to capture an angular measure of said scene, said angular measure being adapted to provide the propagation direction of the light beam coming from the scene, said spatial measure being adapted to provide the conventional two-dimensional capture of the image of the scene. The device further comprises a main focal lens (Lb) arranged along the optical path of the first light beam, said main focal lens (Lb) and second sensor (14) being arranged so that the length of the light's optical path between the light source (4) and the second sensor (14) is substantially equal to the length of the light's optical path between the light source (4) and said main focal lens (Lb).