Apple inc. (20240095879). Image Generation with Resolution Constraints simplified abstract
Contents
- 1 Image Generation with Resolution Constraints
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Image Generation with Resolution Constraints - 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
Image Generation with Resolution Constraints
Organization Name
Inventor(s)
Andreas Gapel of Redwood City CA (US)
Nitin Nandakumar of Sunnyvale CA (US)
Sabine Webel of San Francisco CA (US)
Image Generation with Resolution Constraints - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240095879 titled 'Image Generation with Resolution Constraints
Simplified Explanation
The abstract describes a method of generating an image using a device with processors and memory. The method involves creating resolution functions based on formulas with different sets of values, generating images based on content and resolution functions, detecting resolution constraints, and adjusting resolution functions to meet constraints.
- The method involves generating a first resolution function based on a formula with a set of variables and values.
- A first image is then created using the first resolution function and content.
- If a resolution constraint is detected, a second resolution function is generated with adjusted values to meet the constraint.
- A second image is generated based on the second resolution function and content.
Potential Applications
This technology could be applied in image processing, computer graphics, and digital photography to enhance image resolution and quality.
Problems Solved
This method solves the problem of generating high-resolution images while meeting specific resolution constraints or requirements.
Benefits
The benefits of this technology include improved image quality, flexibility in adjusting resolution functions, and the ability to meet resolution constraints effectively.
Potential Commercial Applications
One potential commercial application of this technology could be in the development of software or devices for image editing, digital art creation, or medical imaging.
Possible Prior Art
One possible prior art could be related to image processing algorithms that optimize resolution functions based on specific constraints or requirements.
Unanswered Questions
How does this method compare to existing image resolution enhancement techniques?
This article does not provide a direct comparison to existing image resolution enhancement techniques. It would be helpful to know the specific advantages or limitations of this method compared to other approaches.
What are the computational requirements of implementing this method on different devices?
The article does not address the computational requirements of implementing this method on various devices. Understanding the resource needs could be crucial for practical applications.
Original Abstract Submitted
in one implementation, a method of generating an image is performed by a device including one or more processors and non-transitory memory. the method includes generating a first resolution function based on a formula with a set of variables having a first set of values. the method includes generating a first image based on first content and the first resolution function. the method includes detecting a resolution constraint. the method includes generating a second resolution function based on the formula with the set of variables having a second set of values, wherein the second resolution function has a summation value that satisfies the resolution constraint. the method includes generating a second image based on second content and the second resolution function.
