17949003. System and Method with Masking and Inpainting Strategy for Generic Defense Against Patch Attacks simplified abstract (Robert Bosch GmbH)
Contents
- 1 System and Method with Masking and Inpainting Strategy for Generic Defense Against Patch Attacks
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 System and Method with Masking and Inpainting Strategy for Generic Defense Against Patch Attacks - 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 Original Abstract Submitted
System and Method with Masking and Inpainting Strategy for Generic Defense Against Patch Attacks
Organization Name
Inventor(s)
Aniruddha Saha of Elkridge MD (US)
Chaithanya Kumar Mummadi of Pittsburgh PA (US)
Filipe Condessa of Pittsburgh PA (US)
System and Method with Masking and Inpainting Strategy for Generic Defense Against Patch Attacks - A simplified explanation of the abstract
This abstract first appeared for US patent application 17949003 titled 'System and Method with Masking and Inpainting Strategy for Generic Defense Against Patch Attacks
Simplified Explanation
The patent application describes a system and method for inpainting images by dividing the source image into regions, creating masked regions, inpainting based on similarity data, and generating a protected image.
- Source image is divided into source regions corresponding to grid regions.
- Mask is used to create masked and unmasked regions.
- Inpainted region is generated by inpainting the masked region.
- Similarity data is generated based on similarity assessment.
- Protected image is generated based on similarity data, including masked or inpainted regions.
Potential Applications
This technology can be applied in image editing software, forensic analysis of images, and restoration of damaged photographs.
Problems Solved
This technology solves the problem of seamlessly inpainting missing or damaged regions in images, improving the overall quality and appearance of the image.
Benefits
The benefits of this technology include improved image editing capabilities, enhanced image restoration processes, and increased efficiency in forensic analysis tasks.
Potential Commercial Applications
Commercial applications of this technology include image editing software, forensic analysis tools, and photo restoration services.
Possible Prior Art
One possible prior art for this technology could be existing image inpainting algorithms used in image editing software and forensic analysis tools.
Unanswered Questions
How does this technology handle inpainting of complex textures or patterns in images?
The patent application does not provide specific details on how the system deals with inpainting complex textures or patterns in images. Further information on the algorithm's robustness in handling intricate details would be beneficial.
What is the computational efficiency of this inpainting method compared to existing techniques?
The patent application does not discuss the computational efficiency of the proposed inpainting method. Understanding the processing time and resource requirements compared to other inpainting algorithms would be essential for practical implementation.
Original Abstract Submitted
A system and method include dividing a source image into a plurality of source regions, which are portions of the source image that correspond to a plurality of grid regions. A mask is used to create a first masked region that masks a first source region and a first unmasked region that comprises a second source region. A first inpainted region is generated by inpainting the first masked region based on the second source region. Similarity data is generated based on a similarity assessment. A protected image is generated that includes at least (i) the first masked region at a first grid region when the similarity data indicates that the first source region is not similar to the first inpainted region and (ii) the first inpainted region at the first grid region when the similarity data indicates that the first source region is similar to the first inpainted region.
