Samsung electronics co., ltd. (20240119562). LEAST SIGNIFICANT BIT (LSB) INFORMATION PRESERVED SIGNAL INTERPOLATION WITH LOW BIT RESOLUTION PROCESSORS simplified abstract
Contents
- 1 LEAST SIGNIFICANT BIT (LSB) INFORMATION PRESERVED SIGNAL INTERPOLATION WITH LOW BIT RESOLUTION PROCESSORS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 LEAST SIGNIFICANT BIT (LSB) INFORMATION PRESERVED SIGNAL INTERPOLATION WITH LOW BIT RESOLUTION PROCESSORS - 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
LEAST SIGNIFICANT BIT (LSB) INFORMATION PRESERVED SIGNAL INTERPOLATION WITH LOW BIT RESOLUTION PROCESSORS
Organization Name
Inventor(s)
LEAST SIGNIFICANT BIT (LSB) INFORMATION PRESERVED SIGNAL INTERPOLATION WITH LOW BIT RESOLUTION PROCESSORS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240119562 titled 'LEAST SIGNIFICANT BIT (LSB) INFORMATION PRESERVED SIGNAL INTERPOLATION WITH LOW BIT RESOLUTION PROCESSORS
Simplified Explanation
The abstract describes a computer-implemented method that processes content by splitting it into most significant bits and least significant bits, performing processing on the most significant bits while preserving the least significant bits, and then combining the outputs to improve the quality of the content.
- The method receives content with a first resolution.
- The content is split into most significant bits and least significant bits.
- Processing is performed on the most significant bits while preserving the least significant bits.
- A linear combination of the processed most significant bits and preserved least significant bits is performed to enhance the content quality.
Potential Applications
This technology could be applied in:
- Image and video processing
- Data compression and optimization
- Signal processing and enhancement
Problems Solved
This technology addresses issues such as:
- Loss of quality during processing
- Efficient use of resources
- Balancing quality and file size
Benefits
The benefits of this technology include:
- Improved content quality
- Enhanced processing efficiency
- Optimal use of data resources
Potential Commercial Applications
This technology could be utilized in various commercial applications, including:
- Multimedia editing software
- Data storage and management systems
- Communication and broadcasting technologies
Possible Prior Art
One possible prior art for this technology could be:
- Image compression algorithms
- Video encoding techniques
Unanswered Questions
How does this method compare to existing content processing techniques?
This article does not provide a direct comparison with existing techniques in terms of performance, efficiency, or quality improvement.
What are the specific technical requirements for implementing this method?
The article does not detail the specific technical requirements, such as hardware specifications or software dependencies, needed to implement this method effectively.
Original Abstract Submitted
one embodiment provides a computer-implemented method that includes receiving content having a first resolution. the processor splits the content into most significant bits and least significant bits. the processor further performs processing of the most significant bits of the content while preserving the least significant bits. the processor additionally performs a linear combination of outputs of the processing of the most significant bits with the preserved least significant bits for improving quality of the content.
