Dynamic Image Processing Brightness Threshold Adaptation
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Solution Overview
Problem
Conventional image processing methods either result in low-resolution images or require significant time and resources to achieve high-resolution images, which is inconvenient for users.
Innovation Solution
An image processing method that determines the brightness of the image and outputs either a merged true-color image or a color-block image, converting the color-block image into a simulation image using a first interpolation algorithm, and then into a simulation true-color image, while also performing white-balance, bad-point, and crosstalk compensations, and demosaicking processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional image processing methods are used to obtain high resolution images, then image resolution is improved, but processing time and resource consumption increase significantly
Solution Approach 1:
The patent implements dynamic image processing by detecting scene characteristics (brightness, motion, focus) and automatically switching between different processing modes: full-resolution processing for static clear scenes, and down-sampled processing for moving or low-light scenes. This dynamic adaptation resolves the contradiction by adjusting resolution based on actual needs, reducing unnecessary processing time while maintaining quality when required.
Solution Approach 2:
The system changes processing parameters (resolution level, processing intensity) based on detected scene conditions. When motion is detected or lighting is poor, the system reduces the processing resolution parameter to save time and resources. When conditions are optimal, it increases the parameter to maximize quality, thus resolving the time-quality trade-off.
2Measurement precision
If conventional image processing methods are used to obtain high resolution images, then image resolution is improved, but resource consumption increases significantly
Solution Approach 1:
The system dynamically adjusts resource allocation based on scene requirements. By detecting whether the scene requires full-resolution processing or can tolerate down-sampling, the system optimizes energy and computational resource consumption, resolving the contradiction between high resolution output and resource efficiency.
Solution Approach 2:
The processing resolution parameter is changed based on scene characteristics. In scenarios where full resolution is not critical (moving objects, low light), the system reduces the parameter to decrease computational load and resource consumption, thereby resolving the contradiction.
3Productivity
If photosensitive pixels are collectively output as one merged pixel, then processing efficiency is improved, but image resolution deteriorates
Solution Approach 1:
The patent implements dynamic resolution adjustment by switching between merged pixel output (for efficiency in appropriate scenarios) and full-resolution output (when quality is prioritized). Based on scene characteristics detection, the system determines the optimal output mode, resolving the contradiction between processing efficiency and image resolution.
4Productivity
If brightness-based processing mode selection is implemented, then processing efficiency is improved, but system complexity increases
Solution Approach 1:
The patent segments the image processing system into distinct functional modules: brightness detection module, mode determination module, and processing execution module. This segmentation allows the system to implement complex brightness-based decision logic while maintaining modularity and manageable complexity, resolving the contradiction between efficiency improvement and system complexity.
Data Source
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AI summary
An image processing method is provided. The image sensor is controlled to output the combination image. The brightness of the combination image is obtained and it is determined whether the brightness is less than or equal to a preset threshold. When the brightness is less than or equal to the preset threshold, the combination image is converted into the combination true-color image. When the brightness is greater than the preset threshold, the image sensor is controlled to output the color-block image. The color-block image is converted into the simulation image. The simulation image is converted into the simulation true-color image. An image processing apparatus and an electronic device are provided.