Invention:
The photonic processing system described in this invention is able to perform large-scale matrix multiplication in an energy-efficient manner with the encoding matrix being designed such that encoded data can be decoded with high-fidelity for post-processing, such as reconstructing compressed images and image conditioning applications.
In addition, this can enable image conditioning operations (e.g., denoising) to be selectively moved from an encoding stage at the front end of a processing pipeline to a decoding stage later in the processing pipeline. This photonic encoding and processing system is scalable to large-pixel images (e.g., images having pixels on the order of terapixels) and may be over 1,000 times more energy efficient compared to conventional electronic approaches.
Background:
In conventional digital electronics-based image processing systems, electrical power consumption is proportional to the number of mathematical operations performed on each pixel. This approach is associated with suboptimal speed and relatively high-power consumption. This invention addresses and overcomes these problems, providing greater advantages over conventional electronic image signal processing systems and methods.
One of the standout features of this photonic processing system is its compatibility and ease of integration with existing electronic-based systems. Given the modular nature of the system, industries can implement this technology in stages, enabling a smooth transition from conventional to photonic-based processing. Furthermore, its adaptability ensures that while technology and demands evolve, this system remains relevant, continuing to push the boundaries of image processing, thus ensuring a long-lasting solution for future demands in imaging applications.
Applications:
- Large-scale image processing
- Real-time image conditioning
- High-fidelity data encoding
- Advanced imaging applications
Advantages:
- Energy efficiency
- High speed
- Flexible processing pipeline
- Adaptability
