Low-Resolution Brightness Maps for XR Exposure Correction
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Solution Overview
Problem
Conventional image sensors in XR headsets lack HDR capabilities, leading to overexposed or underexposed pixels, disrupting the illusion of reality in XR environments and diminishing user experience due to high luminance variations.
Innovation Solution
A method and device using a low-resolution brightness map to correct exposure in images by defining a low-resolution brightness map corresponding to ambient lighting conditions, employing a neural network to guide exposure correction and adjust pixel brightness levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional image sensors are used in XR headsets, then device complexity is reduced, but image quality deteriorates due to overexposed or underexposed pixels in high luminance variations
Solution Approach 1:
A brightness map is introduced as an intermediary element to guide exposure correction. The brightness map stores predetermined exposure information that mediates between the conventional image sensor and the final corrected image, enabling HDR-like performance without requiring specialized HDR sensors
Solution Approach 2:
Exposure correction is performed in advance by capturing a brightness map before the actual image capture. This preliminary action allows the system to pre-determine exposure parameters and apply them during image processing, preventing overexposure and underexposure issues
2Manufacturing precision
If multi-exposure or gain systems are implemented, then image quality improves, but data processing requirements increase and frame rates decrease
Solution Approach 1:
Instead of capturing multiple actual images at different exposures, the system creates a virtual brightness map that copies and stores exposure information. This allows the system to apply exposure corrections to multiple images using the same brightness map data, avoiding the need to process multiple actual captures and maintaining high frame rates
3Ease of manufacture
If conventional image sensors are used, then device cost is reduced, but user experience deteriorates due to disrupted illusion of reality in XR environments
Solution Approach 1:
The brightness map serves as a mediator that enhances the output of conventional sensors, maintaining cost-effectiveness while improving user experience through exposure correction that preserves the illusion of reality in XR environments
Data Source
AI summary
Disclosed is method for exposure correction. The method includes receiving at least one image; defining a low-resolution brightness map, associated with the at least one image, corresponding to an ambient lighting condition in which the at least one image is captured; and correcting an exposure in the at least one image, to restore at least one inaccurately-illuminated area of the at least one image, by guiding the at least one image based on the low-resolution brightness map, wherein the at least one inaccurately-illuminated area is at least one of: at least one under-illuminated area of the at least one image, at least one over-illuminated area of the at least one image.