18453362. SYSTEMS AND METHODS FOR DIGITAL IMAGE COMPRESSION simplified abstract (ILLINOIS TOOL WORKS INC.)
Contents
- 1 SYSTEMS AND METHODS FOR DIGITAL IMAGE COMPRESSION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEMS AND METHODS FOR DIGITAL IMAGE COMPRESSION - 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 image compression techniques?
- 1.11 What are the limitations of this technology in terms of image quality preservation?
- 1.12 Original Abstract Submitted
SYSTEMS AND METHODS FOR DIGITAL IMAGE COMPRESSION
Organization Name
Inventor(s)
Joseph Schlecht of Edina MN (US)
Eric Ferley of Minneapolis MN (US)
SYSTEMS AND METHODS FOR DIGITAL IMAGE COMPRESSION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18453362 titled 'SYSTEMS AND METHODS FOR DIGITAL IMAGE COMPRESSION
Simplified Explanation
The abstract describes techniques for dynamic compression of individual regions representing pixels and/or voxels of high-resolution digital images. Different scaling values are applied to different regions during compression, and a third scaling value is applied to both regions during decompression and image reconstruction.
- Dynamic compression of individual regions in high-resolution digital images
- Different scaling values applied to different regions during compression
- Third scaling value applied to both regions during decompression and image reconstruction
Potential Applications
This technology could be applied in various fields such as medical imaging, satellite imaging, video processing, and remote sensing.
Problems Solved
This technology solves the problem of efficiently compressing high-resolution digital images while maintaining image quality during decompression and reconstruction.
Benefits
The benefits of this technology include reduced storage space requirements, faster transmission of image data, and improved image quality preservation.
Potential Commercial Applications
One potential commercial application of this technology could be in the development of advanced image processing software for industries such as healthcare, aerospace, and entertainment.
Possible Prior Art
One possible prior art for this technology could be existing image compression algorithms that focus on overall image compression rather than dynamic compression of individual regions.
Unanswered Questions
How does this technology compare to existing image compression techniques?
This article does not provide a direct comparison between this technology and existing image compression techniques.
What are the limitations of this technology in terms of image quality preservation?
The article does not address any potential limitations of this technology in terms of preserving image quality during compression and decompression.
Original Abstract Submitted
Described herein are examples of imaging systems for digital image processing. For example, techniques are disclosed for dynamic compression of individual regions representing pixels and/or voxels of high-resolution digital images. During image data compression, first regions may be scaled based on a first scaling value, whereas second region may be scaled based on a second scaling value. During image data decompression and image reconstruction, a third scaling value is applied to both first and second regions.
