Adaptive Image Defogging via Fog Density Parameter Control
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Solution Overview
Problem
Existing image defogging technologies fail to effectively remove fog by not considering the density of fog, leading to reduced defogging performance and are ineffective in side mirrorless systems.
Innovation Solution
An apparatus and method that adaptively control defogging parameters by generating a brightness curve, detecting a maximum variation point, determining a normalization value and weight based on the vanishing point, and using these to remove fog from images, thereby improving defogging performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fixed defogging parameters are used in existing technology, then the processing is simple, but the defogging performance deteriorates due to inability to adapt to different fog densities
Solution Approach 1:
The patent transforms fixed defogging parameters into dynamic parameters that adapt to different fog conditions. The controller automatically adjusts the defogging parameter based on the density of fog detected in the image, enabling the system to maintain optimal performance across varying environmental conditions without manual intervention.
Solution Approach 2:
The patent changes the defogging parameter adaptively based on fog density. Instead of using a fixed parameter, the system calculates and adjusts the parameter according to the actual fog conditions in the captured image, allowing optimal defogging performance for light fog, medium fog, and heavy fog scenarios respectively.
2Reliability
If existing defogging technology is applied without considering fog density, then the processing speed is fast, but the defogging effectiveness is reduced
Solution Approach 1:
The patent implements adaptive parameter adjustment based on fog density classification. The controller determines the fog density level and selects appropriate defogging parameters accordingly, ensuring effective defogging for different fog conditions while maintaining processing efficiency through automated parameter selection.
3Reliability
If fixed weight value is used in defogging equations, then the calculation is simple, but the defogging performance deteriorates due to lack of adaptation to different fog conditions
Solution Approach 1:
The patent transforms the fixed weight parameter into a dynamic parameter that changes according to fog density. The controller automatically adjusts the weight value based on the detected fog conditions, enabling the defogging algorithm to adapt to different scenarios without requiring complex manual parameter tuning.
Data Source
AI summary
The present disclosure relates to an apparatus and a method for removing fog in an image capable of providing a defogged image without a sense of difference by adaptively controlling defogging parameters in response to a density of fog to remove fog.