Image Fluctuation Correction Using Focal-Length Data
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Solution Overview
Problem
Existing image fluctuation correction methods, such as those using pixel value differences, can erroneously detect fluctuations due to moving objects, leading to blurred images and reduced visibility, especially in environments with varying atmospheric conditions.
Innovation Solution
An image processing apparatus and method that utilizes focal length or object distance information to accurately correct image fluctuations by adjusting correction strength based on acquired distance information, employing smoothing techniques tailored to the specific environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If smoothing is applied in the time direction to reduce fluctuation, then fluctuation correction is improved, but moving body blur increases
Solution Approach 1:
The patent applies different smoothing strengths to different regions of the image based on detected fluctuation levels. Regions with high fluctuation receive stronger smoothing, while regions with low fluctuation or containing moving objects receive weaker or no smoothing, thereby preventing moving body blur in specific areas while correcting fluctuation in others.
Solution Approach 2:
The patent dynamically adjusts the smoothing strength based on the detected degree of fluctuation in real-time. The smoothing parameter is not fixed but changes according to the current atmospheric conditions and image content, allowing the system to adapt to varying fluctuation levels without causing excessive blur.
2Difficulty of detecting and measuring
If fluctuation detection is based on pixel value differences, then fluctuation detection capability is improved, but detection accuracy deteriorates due to moving objects
Solution Approach 1:
The patent performs preliminary analysis of the image to identify moving objects or regions before applying fluctuation detection. By pre-segmenting the image into static and moving regions, the system can then apply pixel value difference-based detection only to static regions, avoiding false detections caused by moving objects.
Solution Approach 2:
The patent extracts and separates moving object regions from the overall image before performing fluctuation detection. By removing or masking out moving regions, the system ensures that pixel value difference calculations are performed only on stationary background regions, thereby eliminating the source of detection errors.
Data Source
AI summary
An image processing apparatus comprises one or more memories storing instructions and one or more processors that execute the instructions to acquire information about a focal length as distance information, and correct a fluctuation in a captured image based on the distance information.