Optical Convolution Using Kernel-Embedded Film for Real-Time Imaging
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Solution Overview
Problem
Existing optical systems for image processing are bulky, difficult to calibrate, and lack flexibility for general-purpose convolutional operations, while digital methods struggle with real-time processing demands.
Innovation Solution
A system utilizing a spatial light modulator and a photosensitive film embedded with a pre-trained convolutional kernel to perform optical convolution operations, where modulated light interacts with the kernel to form a convolved image on an output plane.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If digital convolution operations are performed using GPUs or digital signal processors, then processing flexibility and programmability are maintained, but processing speed and power efficiency deteriorate due to computational demands
Solution Approach 1:
The patent replaces digital computational systems (GPUs, digital signal processors) with an optical computing system that performs convolution operations using light propagation through a photosensitive film containing an embedded kernel. This substitution of mechanical/digital computation with optical physics enables parallel processing at the speed of light while reducing power consumption, as the optical system performs computations passively through light-matter interaction rather than active digital processing.
2Adaptability or versatility
If existing optical systems use lenses and optical components for image processing, then specific mathematical operations can be performed, but system complexity, calibration difficulty, and bulkiness increase
Solution Approach 1:
The patent extracts the convolution kernel from complex optical component assemblies and embeds it directly into a photosensitive film. This extraction of the kernel function from bulky lens systems and its integration into a planar film structure simplifies the overall system architecture, reduces the number of moving parts and alignment requirements, while maintaining the ability to perform general-purpose convolution operations by changing the kernel pattern on the film.
Solution Approach 2:
The patent uses a thin photosensitive film as the substrate for embedding the convolution kernel, replacing traditional bulky optical components like lenses and mirrors. The film's thin, flexible nature reduces system bulk and simplifies integration, while the kernel can be reconfigured by rewriting the film pattern, providing adaptability for different convolution operations without requiring complex mechanical adjustments.
3Speed
If real-time processing is required for augmented reality and high-definition video, then processing speed must increase, but digital system computational load and power consumption increase
Solution Approach 1:
The patent replaces energy-intensive digital computation with passive optical processing. The convolution operation is performed by light passing through the photosensitive film containing the kernel, utilizing the natural propagation and interference of light waves. This optical analog computation achieves real-time processing speeds (at the speed of light) with minimal power consumption, as the system relies on physical light-matter interaction rather than active digital processing of pixel data.
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
Enables real-time, high-speed image processing by shifting computational load to the optical domain, reducing digital system burden and enhancing speed and power efficiency.
Implementation Method 1
a spatial light modulator, such as a digital micromirror device (DMD) or liquid crystal display (LCD) panel, to emit spatially modulated light corresponding to an input image
Implementation Method 2
The kernel is imprinted onto the photosensitive film through a process of photographic exposure (202)
Data Source
AI summary
The invention provides an optical image processing system that performs convolutional operations using spatially modulated light and a photosensitive film embedded with a convolutional kernel. A spatial light modulator (101), such as a digital micromirror device or LCD panel, emits light corresponding to an input image. This light passes through a photosensitive film (102) embedded with the kernel via a process of photographic exposure, chemical development, and fixing. The modulated light is projected onto an output plane (103), forming the final image, which is the convolution of the input image and the kernel. This image can be captured by a camera for further analysis. The system allows real-time, high-speed image processing by utilizing the properties of light, reducing digital computational requirements, and enabling flexibility through replaceable films for various tasks.