18632463. DEEP LEARNING BASED IMAGE ENHANCEMENT simplified abstract (THE JOHNS HOPKINS UNIVERSITY)
Contents
DEEP LEARNING BASED IMAGE ENHANCEMENT
Organization Name
Inventor(s)
Nicholas J. Durr of Baltimore MD (US)
Taylor L. Bobrow of Chesapeake VA (US)
Faisal Mahmood of Baltimore MD (US)
DEEP LEARNING BASED IMAGE ENHANCEMENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 18632463 titled 'DEEP LEARNING BASED IMAGE ENHANCEMENT
The abstract of the patent application describes a device that can process a coherent energy illuminated image of an object containing laser speckle to generate a laser speckle-reduced image for diagnostics.
- Device receives coherent energy illuminated image with laser speckle
- Processes image using laser speckle reduction model
- Generates laser speckle-reduced image for diagnostics
Potential Applications: - Medical imaging for clearer and more accurate diagnostics - Quality control in manufacturing processes - Security and surveillance systems for improved image clarity
Problems Solved: - Reduction of laser speckle interference in coherent energy illuminated images - Enhanced image quality for better analysis and diagnostics
Benefits: - Improved image quality for more accurate diagnostics - Enhanced clarity in various applications such as medical imaging and security systems
Commercial Applications: - Medical imaging equipment manufacturers - Manufacturing companies for quality control processes - Security system providers for surveillance applications
Questions about Laser Speckle Reduction: 1. How does laser speckle reduction improve image quality?
Laser speckle reduction helps to reduce interference patterns in images, resulting in clearer and more detailed visuals.
2. What are the potential drawbacks of laser speckle reduction technology?
Some potential drawbacks may include increased processing time and complexity in implementing the technology.
Original Abstract Submitted
A device may receive a coherent energy illuminated image, of a particular object, that includes laser speckle. The device may process, using a laser speckle reduction model, the coherent energy illuminated image to generate a laser speckle-reduced image. The device may provide the laser speckle-reduced image as output to permit diagnostics based on the laser speckle-reduced image.