Dark Channel Dehazing for Bright Regions and Halo Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image and video dehazing algorithms struggle with poor dehazing effects in areas with high brightness values and uneven processing due to varying haze densities, leading to color distortion and halo effects.
Innovation Solution
An image and video dehazing method that utilizes a second dark channel map and atmospheric light value to estimate transmittance, adjusting brightness levels to maintain appropriate brightness in high-brightness areas and improve dehazing uniformity across varying haze densities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If most dehazing algorithms are used to process high brightness areas such as sky, then the dehazing process can be applied uniformly, but color distortion is generated
Solution Approach 1:
The patent applies different dehazing strategies to different regions of the image. Specifically, it identifies high brightness areas (such as sky) and processes them differently from other regions by using atmospheric light value estimation and transmittance calculation tailored to these areas, thereby avoiding color distortion while maintaining uniform applicability across the entire image
2Ease of operation
If most dehazing algorithms are used to process areas with different haze densities, then the processing can be applied to all regions, but the processing effect becomes uneven due to varying light attenuation
Solution Approach 1:
The patent dynamically adjusts key parameters including atmospheric light value and transmittance based on local image characteristics and haze density. By calculating these parameters differently for dense fog areas versus mist areas, the algorithm achieves uniform processing effects across regions with varying haze densities despite different light attenuation conditions
3Productivity
If traditional dehazing algorithms process dense fog areas with greater light attenuation, then the overall dehazing can be achieved, but the dehazing effect is poor in these areas
Solution Approach 1:
The patent specifically targets dense fog areas with enhanced processing by estimating atmospheric light values and transmittance parameters that are adapted to these challenging regions. This localized approach ensures that areas with greater light attenuation receive appropriate dehazing treatment while maintaining overall image processing efficiency
Data Source
AI summary
Disclosed is an image dehazing method, including: obtaining a second dark channel map corresponding to a target image based on a first dark channel value corresponding to each pixel in the target image; obtaining an atmospheric light value; obtaining a haze intensity value; obtaining a dehazing intensity correction value based on the haze intensity value, a first dark channel value corresponding to each pixel in a first dark channel map, or a brightness value corresponding to each pixel in the target image; obtaining an estimated value of a transmittance based on the dehazing intensity correction value, a second dark channel value corresponding to each pixel in the second dark channel map, and the atmospheric light value; and obtaining an estimated dehazed image based on the estimated value of the transmittance, the target image and the atmospheric light value. Therefore, the generation of the halo effect can be avoided.