18491533. SYSTEMS AND METHODS FOR TONE MAPPING OF HIGH DYNAMIC RANGE IMAGES FOR HIGH-QUALITY DEEP LEARNING BASED PROCESSING simplified abstract (Intel Corporation)
Contents
- 1 SYSTEMS AND METHODS FOR TONE MAPPING OF HIGH DYNAMIC RANGE IMAGES FOR HIGH-QUALITY DEEP LEARNING BASED PROCESSING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEMS AND METHODS FOR TONE MAPPING OF HIGH DYNAMIC RANGE IMAGES FOR HIGH-QUALITY DEEP LEARNING BASED PROCESSING - 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 Unanswered Questions
- 1.11 Original Abstract Submitted
SYSTEMS AND METHODS FOR TONE MAPPING OF HIGH DYNAMIC RANGE IMAGES FOR HIGH-QUALITY DEEP LEARNING BASED PROCESSING
Organization Name
Inventor(s)
Attila Tamas Afra of Satu Mare (RO)
SYSTEMS AND METHODS FOR TONE MAPPING OF HIGH DYNAMIC RANGE IMAGES FOR HIGH-QUALITY DEEP LEARNING BASED PROCESSING - A simplified explanation of the abstract
This abstract first appeared for US patent application 18491533 titled 'SYSTEMS AND METHODS FOR TONE MAPPING OF HIGH DYNAMIC RANGE IMAGES FOR HIGH-QUALITY DEEP LEARNING BASED PROCESSING
Simplified Explanation
The abstract describes systems and methods for tone mapping high dynamic range (HDR) images for deep learning based processing using a graphics processor. The processor computes an auto-exposure scale for an image, scales the image accordingly, and applies a tone mapping operator to generate a tone mapped image.
- Graphics processor used for tone mapping of HDR images
- Auto-exposure scale computation for effective tone mapping
- Application of tone mapping operator including a log function
- Scaling of the log function for generating a tone mapped image
Potential Applications
The technology can be applied in various fields such as photography, video editing, computer graphics, and image processing for enhancing the quality of HDR images.
Problems Solved
1. Tone mapping of HDR images for deep learning based processing 2. Effective computation of auto-exposure scale for image enhancement
Benefits
1. Improved quality of HDR images 2. Enhanced visual experience in photography and video editing 3. Efficient processing of high-quality images for various applications
Potential Commercial Applications
Optimizing HDR images for social media platforms, enhancing visual effects in movies and TV shows, improving image quality in medical imaging applications.
Possible Prior Art
Prior art may include existing tone mapping techniques for HDR images, image processing algorithms for auto-exposure adjustment, and graphics processing units designed for media processing tasks.
Unanswered Questions
How does the tone mapping operator impact the final quality of the tone mapped image?
The abstract mentions the application of a tone mapping operator including a log function, but it does not delve into the specific effects of this operator on the resulting image quality.
Are there any limitations or constraints in the implementation of this technology on different graphics processors?
The abstract focuses on the functionality of a graphics processor for tone mapping HDR images, but it does not address potential challenges or compatibility issues that may arise when implementing this technology on various graphics processor architectures.
Original Abstract Submitted
Systems and methods for tone mapping of high dynamic range (HDR) images for high-quality deep learning based processing are disclosed. In one embodiment, a graphics processor includes a media pipeline to generate media requests for processing images and an execution unit to receive media requests from the media pipeline. The execution unit is configured to compute an auto-exposure scale for an image to effectively tone map the image, to scale the image with the computed auto-exposure scale, and to apply a tone mapping operator including a log function to the image and scaling the log function to generate a tone mapped image.
