UAV Image Color Adjustment via Dynamic Channel Gain
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Solution Overview
Problem
Aerial photography using UAVs often results in monotonous color styles in processed images and videos, failing to accurately reflect the actual photographing status.
Innovation Solution
An image color adjustment method and apparatus for UAVs that determines current photographing parameters, including exposure and color temperature, to select an optimal color channel gain, adjusting the image colors accordingly, allowing for varied color styles by interpolating gains when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automatic white balance processing is applied to aerial videos and images, then the videos and images can accurately reflect the color of a subject, but the videos and images present only a monotonous color style
Solution Approach 1:
The patent applies parameter changes by adjusting color channel gains (red, green, blue channels) based on different photographing parameters such as exposure value and color temperature. By varying these color parameters according to the shooting conditions, the system maintains color accuracy while generating diverse color styles. Specifically, the method selects or calculates optimal color channel gains from a preset table or through interpolation, then applies them to adjust the RGB values of pixels, thereby achieving both accurate color representation and stylistic variation.
2Ease of operation
If a fixed color adjustment method is used, then the processing is simple and fast, but the color style cannot be changed with actual photographing status
Solution Approach 1:
The patent implements dynamics by making the color adjustment parameters adaptive rather than fixed. The color channel gains are dynamically selected or calculated based on the actual photographing status, including exposure value and color temperature. This dynamic approach allows the system to automatically adjust color styles according to different shooting conditions while maintaining processing efficiency through preset tables and interpolation algorithms.
Solution Approach 2:
The method employs feedback by using the actual photographing parameters (exposure, color temperature) as input to determine the appropriate color channel gains. The system receives feedback from the shooting conditions, processes this information through lookup tables or interpolation, and applies the resulting color adjustments, creating a closed-loop system that adapts to varying photographing status.
Data Source
AI summary
Embodiments of the disclosure relate to the field of image processing technologies, and disclose an image color adjustment method and apparatus and an unmanned aerial vehicle (UAV). The image color adjustment method is applicable to an image collection device. The method includes: determining a current photographing parameter of the image collection device during collection of a to-be-processed image, where the current photographing parameter includes a current exposure and a current color temperature; selecting, according to the current exposure and the current color temperature, an optimal color channel gain matching the current exposure and the current color temperature; and adjusting a color of the to-be-processed image according to the optimal color channel gain.