Adaptive Signal Detection Under Adverse Lighting
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Solution Overview
Problem
Existing digital watermarking systems face challenges in detecting encoded signals under adverse lighting conditions, particularly due to noise amplification in the blue channel under incandescent lighting and varying light levels, which affects detection accuracy.
Innovation Solution
Adapting signal detection processes based on lighting information, such as deemphasizing the blue channel in low light conditions and adjusting color channel weightings to optimize detection, using a dynamic signal detector that considers lighting conditions to improve the detection of encoded signals in images or videos captured with handheld devices like cell phones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If signal detection is performed under incandescent lighting conditions, then detection can proceed, but noise amplification in the blue channel reduces detection accuracy
Solution Approach 1:
The patent changes the parameters of the detection process by adapting color channel weightings based on lighting conditions. Under incandescent lighting, the system reduces the weighting of the blue channel to minimize noise amplification while adjusting other channels to maintain detection accuracy. This dynamic parameter adjustment resolves the contradiction between maintaining detection capability and avoiding noise interference.
Solution Approach 2:
The patent implements a dynamic detection system that adapts to varying lighting conditions in real-time. The detection process dynamically adjusts color channel contributions based on the detected lighting environment, transitioning from static to adaptive processing. This allows the system to optimize detection accuracy for each specific lighting scenario, particularly under adverse incandescent lighting conditions.
2Measurement precision
If standard signal detection is used across all lighting conditions, then the detection process remains simple, but detection accuracy deteriorates under varying light levels
Solution Approach 1:
The patent transforms the static detection process into a dynamic one that automatically adapts to different lighting conditions. By introducing lighting condition detection and adaptive weighting mechanisms, the system gains versatility across various lighting scenarios while maintaining or improving measurement precision. The adaptation is achieved through automated adjustment of color channel contributions based on detected lighting characteristics.
Solution Approach 2:
The patent modifies detection parameters (color channel weightings) based on lighting conditions to optimize measurement precision. Under different lighting scenarios, the system adjusts the relative contributions of red, green, and blue channels to maximize signal detection accuracy. This parameter adaptation enables high precision across diverse lighting environments rather than being optimized for a single condition.
3Reliability
If all color channels are used equally in signal detection, then the detection process is straightforward, but noise interference increases under adverse lighting
Solution Approach 1:
The patent applies different quality settings to different color channels based on lighting conditions. Instead of treating all channels uniformly, the system selectively adjusts the weighting or contribution of specific channels (particularly reducing blue channel weighting under incandescent lighting) to minimize noise interference while maintaining detection capability. This localized quality adjustment enhances detection robustness by optimizing each channel's contribution according to its signal-to-noise characteristics.
Solution Approach 2:
The patent changes the operational parameters of the detection system by dynamically adjusting color channel weightings. Under adverse lighting conditions, the system modifies the parameters to de-emphasize noisy channels and emphasize cleaner channels, thereby reducing overall noise interference and improving detection reliability. This parameter adaptation allows the system to maintain robust performance across varying lighting environments.
Data Source
AI summary
Signal detection adaptable to accommodate various lighting conditions, and to detect embedded signals according to anticipated lighting conditions likely to be present during image capture. A portable apparatus comprising: a camera for capturing data representing imagery or video; a touchscreen display; means for communicating and receiving data; means for obtaining data representing imagery or video, the imagery or video having been captured with said camera; means for obtaining lighting information associated with image capture of the imagery or video, in which the lighting information is associated with a light level or color temperature; and means for processing the data representing imagery or video to determine whether a signal is encoded therein, in which said means for processing utilizes obtained lighting information to determine whether the signal is encoded in the data representing imagery or video. Additional disclosure, combinations and claims are also provided.