Advanced micro devices, inc. (20240114105). METHOD AND DEVICE FOR PERFORMING COLOR TWIST FOR IMAGES simplified abstract
Contents
- 1 METHOD AND DEVICE FOR PERFORMING COLOR TWIST FOR IMAGES
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND DEVICE FOR PERFORMING COLOR TWIST FOR IMAGES - 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 How does this technology compare to existing color manipulation techniques in terms of efficiency and accuracy?
- 1.11 What are the potential limitations or constraints of implementing this technology in real-world applications?
- 1.12 Original Abstract Submitted
METHOD AND DEVICE FOR PERFORMING COLOR TWIST FOR IMAGES
Organization Name
Inventor(s)
Rajy Meeyakhan Rawther of Santa Clara CA (US)
METHOD AND DEVICE FOR PERFORMING COLOR TWIST FOR IMAGES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240114105 titled 'METHOD AND DEVICE FOR PERFORMING COLOR TWIST FOR IMAGES
Simplified Explanation
The processing device and method described in the patent application involve converting pixel values from one color domain to another, adjusting hue and saturation values, storing the adjusted values in memory, and converting the frame back to the original color domain using the stored values.
- The processing device includes memory and a processor.
- The processor converts pixel values from one color domain to the HSV color domain.
- Hue and saturation values of the pixels are adjusted.
- The adjusted values are stored in a portion of memory local to the processor.
- The frame is converted back to the original color domain using the stored adjusted values.
- The adjusted hue and saturation values are generated from pre-adjusted values, which are generated from masked vector values.
Potential Applications
This technology could be applied in various fields such as image processing, computer graphics, video editing, and digital photography.
Problems Solved
This technology solves the problem of accurately adjusting hue and saturation values of pixels in a frame while maintaining color integrity.
Benefits
The benefits of this technology include improved color manipulation capabilities, enhanced image processing accuracy, and efficient conversion between different color domains.
Potential Commercial Applications
One potential commercial application of this technology could be in software development for image editing tools, video editing software, and graphic design applications.
Possible Prior Art
Prior art in the field of image processing and color manipulation techniques may include algorithms for converting between different color spaces, adjusting hue and saturation values, and storing pixel data efficiently.
Unanswered Questions
How does this technology compare to existing color manipulation techniques in terms of efficiency and accuracy?
This article does not provide a direct comparison with existing color manipulation techniques, so it is unclear how this technology stacks up against current methods in terms of efficiency and accuracy.
What are the potential limitations or constraints of implementing this technology in real-world applications?
The article does not address any potential limitations or constraints of implementing this technology in real-world applications, leaving open questions about its practicality and scalability.
Original Abstract Submitted
a processing device and method for executing a color twist operation are provided. the processing device comprises memory and a processor configured to convert values of pixels of a frame from a first color domain to a hue, saturation and value (hsv) color domain, adjust hue values and saturation values of the pixels, store the adjusted hue and saturation values in a portion of the memory local to the processor and convert the frame from the hsv color domain to the first color domain using the adjusted hue and saturation values stored in local memory. the adjusted hue and saturation values are generated from pre-adjusted values, which are generated from masked vector values.
