Adjustable Magnification Factor for 4D Integral Image Reconstruction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing computational integral imaging reconstruction (CIIR) methods suffer from a fixed blurring effect due to a fixed magnification factor, which limits the adjustment of the number of overlapping pixels, resulting in low visual quality of reconstructed 3D images, especially as the reconstruction distance increases.
Innovation Solution
Introducing an adjustable magnification factor (k) that allows for the free adjustment of the number of overlapping pixels, enabling the cropping and translation of elemental images to generate a 4D image by determining a crop ratio based on the reconstruction location and magnification factor, and normalizing the overlapping images to improve image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a fixed magnification factor is used in existing CIIR methods, then the reconstruction process is simple, but the blurring effect cannot be adjusted resulting in low visual quality
Solution Approach 1:
The patent introduces an adjustable magnification factor that transforms the fixed reconstruction process into a dynamic one. By allowing the magnification factor to be adjusted according to reconstruction distance and other parameters, the system can optimize image quality for different scenarios while maintaining a relatively simple overall process structure.
Solution Approach 2:
The patent changes the magnification factor from a fixed parameter to a variable parameter that can be adjusted based on reconstruction distance, focal length, and other factors. This parameter change enables control over the blurring effect intensity, allowing optimization of visual quality without fundamentally changing the reconstruction process complexity.
2Area of stationary object
If the reconstruction distance increases, then the field of view is larger, but the blurring effect intensifies reducing image clarity
Solution Approach 1:
The patent adjusts the magnification factor based on reconstruction distance to compensate for increased blurring. As reconstruction distance increases, the magnification factor is adjusted to control the overlap of elemental images, thereby maintaining image clarity while preserving the larger field of view benefits.
Solution Approach 2:
The patent establishes a relationship between reconstruction distance and magnification factor that acts as a feedback mechanism. The system automatically adjusts the magnification factor according to the reconstruction distance, creating a self-regulating process that maintains optimal image quality across varying distances.
3Manufacturing precision
If the number of overlapping pixels is increased to improve image quality, then the computational complexity increases
Solution Approach 1:
The patent uses the adjustable magnification factor to control the number of overlapping pixels in a systematic way. Rather than arbitrarily increasing overlap to improve quality, the magnification factor provides a controlled parameter that balances image quality improvement with computational resource requirements.
Data Source
AI summary
Provided is a method of reconstructing an integral image based on computational integral imaging reconstruction (CIIR), the method including determining a crop ratio of an original elemental image array (EIA), cropping each elemental image in the original EIA according to the determined crop ratio to generate a cropped and translated EIA, magnifying each elemental image in the cropped and translated EIA according to an adjustable magnification factor (k), overlapping the magnified elemental images with an overlapping number that is adjusted according to the adjustable magnification factor (k), and normalizing the overlapping elemental images to generate a reconstructed image.