Back Light Compensation via Pixel Distribution Histogram Analysis
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Solution Overview
Problem
Existing digital image processing devices, such as cameras, require manual setting and resetting of back light compensation functions according to ambient environments, leading to suboptimal image capture when back light is present, resulting in blurry or dark images.
Innovation Solution
An apparatus and method that automatically detect and compensate for back light in images by analyzing pixel distribution using HIST and slope parameters, adjusting brightness through exposure and gain adjustments, and storing both original and compensated images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual back light compensation setting is implemented, then the device can provide back light compensation function, but the user operation complexity increases and requires frequent manual adjustment
Solution Approach 1:
The system automatically detects back light conditions by analyzing pixel distribution histograms and performs compensation without user intervention. The image processing unit autonomously determines whether back light is present and applies appropriate compensation, making the system self-adjusting to environmental conditions.
Solution Approach 2:
The system dynamically changes exposure parameters and gain values based on detected back light conditions. By analyzing histogram distribution parameters and adjusting exposure compensation values automatically, the system adapts to varying lighting environments without manual input.
2Device complexity
If manual back light compensation setting is required, then the device structure can be simpler, but the productivity decreases due to frequent user intervention
Solution Approach 1:
The image processing unit automatically performs back light detection and compensation by analyzing pixel distribution in the captured image. The system self-adjusts exposure parameters based on histogram analysis, eliminating the need for manual user settings and enabling continuous efficient operation.
Solution Approach 2:
The system uses histogram analysis of captured images to detect back light conditions and feeds this information back to automatically adjust exposure parameters. This closed-loop feedback mechanism enables the system to adapt to changing lighting conditions and maintain optimal image quality without user intervention.
3Ease of operation
If back light compensation is not applied, then the device operation is simpler, but the image quality deteriorates in back light conditions
Solution Approach 1:
The system applies partial compensation by analyzing histogram distribution and selectively adjusting exposure parameters only when back light conditions are detected. The compensation level is adjusted based on the severity of back light conditions, applying just enough correction to maintain image quality without over-processing.
Data Source
AI summary
An apparatus and method for compensating for back light of an image are provided. The method includes receiving an image at a preset time interval, upon receiving the image, dividing pixels constituting the received image according to preset ranges, determining whether the received image is a back light image by confirming a distribution degree of pixels of each of the divided ranges, adjusting the brightness of the back light image when the received image is the back light image, and storing the received image and the back light compensated image.