18485981. METHOD OF AND APPARATUS FOR PROCESSING DIGITAL IMAGE DATA simplified abstract (Robert Bosch GmbH)
Contents
- 1 METHOD OF AND APPARATUS FOR PROCESSING DIGITAL IMAGE DATA
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD OF AND APPARATUS FOR PROCESSING DIGITAL IMAGE DATA - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
METHOD OF AND APPARATUS FOR PROCESSING DIGITAL IMAGE DATA
Organization Name
Inventor(s)
Anna Khoreva of Stuttgart (DE)
METHOD OF AND APPARATUS FOR PROCESSING DIGITAL IMAGE DATA - A simplified explanation of the abstract
This abstract first appeared for US patent application 18485981 titled 'METHOD OF AND APPARATUS FOR PROCESSING DIGITAL IMAGE DATA
Simplified Explanation
The abstract describes a computer-implemented method for processing digital image data using a generative adversarial network (GAN) system.
- The method involves mapping a digital image to an extended latent space associated with a GAN system.
- The encoder determines a noise prediction for the digital image.
- The generator of the GAN system generates further digital images based on the noise prediction and latent variables associated with the extended latent space.
Potential Applications
This technology could be applied in various fields such as image generation, image editing, and computer graphics.
Problems Solved
This technology helps in generating high-quality digital images based on input images and noise predictions, improving the efficiency of image processing tasks.
Benefits
The method allows for the generation of realistic digital images with enhanced details and features, providing more flexibility in image manipulation and editing.
Potential Commercial Applications
- "Enhanced Image Generation Technology for Creative Industries"
Possible Prior Art
One possible prior art could be the use of GAN systems for image generation and manipulation tasks in the field of artificial intelligence.
Unanswered Questions
How does this method compare to traditional image processing techniques?
This article does not provide a direct comparison between this method and traditional image processing techniques. Further research or experimentation may be needed to evaluate the performance and efficiency of this technology in comparison to traditional methods.
What are the potential limitations or challenges of implementing this technology in real-world applications?
The article does not address the potential limitations or challenges that may arise when implementing this technology in real-world applications. Factors such as computational resources, training data requirements, and scalability issues could be important considerations for practical use.
Original Abstract Submitted
A computer-implemented method of processing digital image data. The method includes: determining, by an encoder configured to map a first digital image to an extended latent space associated with a generator of a generative adversarial network, GAN, system, a noise prediction associated with the first digital image, determining, by the generator of the GAN system, at least one further digital image based on the noise prediction associated with the first digital image and a plurality of latent variables associated with the extended latent space.
