18369638. Image Generation with Resolution Constraints simplified abstract (Apple Inc.)
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 18369638 titled 'Image Generation with Resolution Constraints
Simplified Explanation
The abstract describes a method of generating an image using a device with processors and memory, involving the creation of resolution functions based on formulas with different sets of values, and generating images based on content and resolution functions to meet resolution constraints.
- The method involves generating a first resolution function based on a formula with a set of variables and values.
- A first image is generated using the first resolution function and content.
- A resolution constraint is detected.
- A second resolution function is generated with different values to satisfy the constraint.
- A second image is generated using the second resolution function and content.
Potential Applications
This technology could be applied in various fields such as image processing, computer graphics, and digital photography.
Problems Solved
This method helps in generating high-quality images that meet specific resolution constraints, ensuring better visual output.
Benefits
The method allows for the creation of images with improved resolution and quality, enhancing the overall user experience.
Potential Commercial Applications
This technology could be utilized in industries such as advertising, entertainment, and design for creating visually appealing and high-resolution images.
Possible Prior Art
One possible prior art could be the use of image processing algorithms to enhance image resolution and quality in digital media.
Unanswered Questions
How does this method compare to existing image resolution enhancement techniques?
This article does not provide a direct comparison with other image resolution enhancement methods, leaving the reader to wonder about the specific advantages and limitations of this approach.
What are the specific technical requirements for implementing this method on different devices?
The article does not detail the technical specifications or hardware requirements needed to implement this image generation method on various devices, leaving a gap in understanding the practical aspects of its application.
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.
