Image Turbulence Reduction With Luminance-Adaptive Sharpening
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Solution Overview
Problem
Existing image processing techniques for reducing turbulence in images, such as those caused by atmospheric refractive index changes, can lead to blurring and emphasize turbulence correction remainders, particularly in regions with small spatial changes in luminance, thereby weakening the turbulence reduction effect.
Innovation Solution
An image processing apparatus and method that reduces turbulence by adjusting the intensity of smoothing based on turbulence information and spatial luminance changes, and processes high-frequency components or compresses images according to turbulence information to prevent blurring and emphasize contrast where necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If image sharpening is performed to reduce blurring from frame averaging, then image clarity is improved, but turbulence correction remainders are emphasized and turbulence reduction effect is weakened
Solution Approach 1:
The patent applies different processing strengths to different image regions based on their characteristics. High-frequency components are processed with stronger sharpening in regions with large spatial luminance changes, while regions with small spatial changes receive reduced processing to avoid emphasizing turbulence remainders. This local differentiation resolves the contradiction by applying image sharpening only where it benefits clarity without exacerbating turbulence artifacts.
Solution Approach 2:
The patent dynamically adjusts the degree of image sharpening based on turbulence intensity and spatial luminance change characteristics. By changing the sharpening parameter adaptively rather than applying a fixed strength, the system can reduce blurring from frame averaging while preventing the emphasis of turbulence correction remainders in flat regions.
2Reliability
If frame image averaging is increased to reduce turbulence, then turbulence reduction is improved, but image blurring increases
Solution Approach 1:
The patent adaptively determines the number of frames to be averaged based on turbulence intensity. When turbulence is strong, more frames are averaged to improve reduction效果; when turbulence is weak, fewer frames are used to minimize blurring. This dynamic parameter adjustment resolves the contradiction between turbulence reduction and image clarity.
Solution Approach 2:
The patent makes the frame averaging process dynamic by adjusting the averaging strength based on real-time turbulence assessment. Rather than using a fixed averaging parameter, the system dynamically optimizes the balance between turbulence reduction and blurring minimization according to current image conditions.
3Manufacturing precision
If image sharpening degree is increased to compensate for blurring, then image clarity is improved, but turbulence correction remainders become more noticeable in flat regions
Solution Approach 1:
The patent applies localized processing by detecting spatial luminance changes and applying different sharpening strengths accordingly. In regions with large spatial changes (edges, textures), stronger sharpening is applied to maintain clarity. In flat regions with small spatial changes, reduced sharpening is applied to prevent turbulence remainders from becoming noticeable. This local quality differentiation directly resolves the contradiction.
Solution Approach 2:
The patent changes the sharpening parameter based on the local characteristics of each image region. By adjusting the degree of sharpening according to spatial luminance change detection, the system can enhance clarity where needed while suppressing the visibility of turbulence remainders in flat regions.
Data Source
AI summary
An image processing apparatus includes one or more memories storing instructions and one or more processors that execute the instructions to reduce turbulence in an image based on turbulence information, and to correct, based on the turbulence information and a spatial change in luminance in the image, contrast of the image.