Image Defogging via Direct Transmission Map Calculation
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Solution Overview
Problem
Traditional image defogging methods based on the dark channel prior require complex computations for optimizing the transmission map, making real-time implementation difficult and prone to block effects in the defogged image.
Innovation Solution
A novel image defogging method that constructs pixel-based and local area-based dark channel maps, calculates the air light value, and uses a simplified process to acquire a transmission map, allowing for parallel processing and real-time image defogging without compromising image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If soft matting is used to optimize the transmission map in traditional image defogging methods, then the image quality is improved, but the computational complexity increases making real-time implementation difficult
Solution Approach 1:
The patent extracts and removes the soft matting optimization step from the traditional defogging pipeline. Instead of using complex soft matting to optimize the transmission map, the invention directly calculates the transmission map from the dark channel prior without intermediate optimization steps, thereby eliminating computational complexity while maintaining defogging effectiveness
Solution Approach 2:
The patent segments the defogging process into distinct independent steps: (1) calculating the dark channel prior, (2) directly computing the transmission map from the dark channel, and (3) recovering the scene radiance. This segmentation removes the need for complex soft matting optimization while preserving image quality through the direct mathematical relationship between dark channel and transmission map
2Measurement precision
If soft matting is used to optimize the transmission map, then the transmission map accuracy is improved, but the processing time increases preventing real-time operation
Solution Approach 1:
The patent performs preliminary calculation of the dark channel prior across the entire image first, then directly uses this pre-computed dark channel to obtain the transmission map through a simple algebraic relationship. This preliminary action eliminates the need for time-consuming soft matting optimization while maintaining transmission map accuracy
Solution Approach 2:
The patent skips the soft matting optimization step entirely, rushing directly from dark channel prior calculation to transmission map generation. This skipping of unnecessary intermediate steps reduces processing time significantly while the direct mathematical relationship ensures transmission map accuracy is maintained
Data Source
AI summary
Image defogging method and system, the method including: constructing a pixel-based dark channel map of a fogging image; constructing a local area-based dark channel map of the image; acquiring a final dark channel map of the image; acquiring intensity values of R, G, B channels of a pixel having a maximum grey value of all pixels in an area, covered by a brightest area in the local map, in the fogging map, as R, G, B components of an air light value of the image; acquiring a transmission map of the image by using the final map, a maximum value of the components of the air light value, and a defogging parameter; and acquiring intensity values of the channels of pixels in a defogged image by using the transmission map, the air light value, and the intensity values of the R, G, B channels of the pixels in the image.