Image Processing Apparatus Moving Subject Detection Index
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Solution Overview
Problem
Image processing apparatuses face challenges in detecting moving photographic subjects within images with enhanced dynamic range, leading to potential false colors and noise, while requiring significant memory resources, thereby increasing costs.
Innovation Solution
An image processing apparatus generates index information based on pixel value comparisons between short and long exposure images, allowing for detection of moving subjects using this information, reducing the necessary memory and cost by compressing and expanding index data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple images are held in image memory for moving photographic subject detection, then detection accuracy is improved, but device cost increases due to increased memory requirements
Solution Approach 1:
The patent extracts only the necessary brightness index information from the full image data for moving subject detection. Instead of storing and processing complete images, the system extracts brightness indices from multiple images and uses only this extracted information for detection, thereby reducing memory requirements while maintaining detection accuracy.
Solution Approach 2:
The patent segments the image data into brightness indices by comparing pixel values across multiple images. This segmentation transforms the continuous image data into discrete brightness level representations, reducing the information volume needed for detection while preserving the essential characteristics for moving subject identification.
2Illumination intensity
If multiple images are processed for combined image generation, then dynamic range is enhanced, but false color and noise occur in moving subject regions
Solution Approach 1:
The patent uses brightness index information as feedback to identify moving subject regions and apply correction processing. The system compares brightness indices across multiple images to detect changes indicating movement, then uses this feedback information to determine which regions require correction to eliminate false color and noise while preserving enhanced dynamic range.
Solution Approach 2:
The patent applies different processing quality to different regions of the image. By identifying moving subject regions through brightness index comparison, the system applies correction processing only to these specific regions rather than the entire image, maintaining enhanced dynamic range in static regions while eliminating artifacts in moving regions.
Data Source
AI summary
Provided is an image processing apparatus including a generation section which generates, based on a plurality of images captured at different exposure times, index information representing an index of a brightness of the plurality of images, and a detection section which detects a moving photographic subject included in the plurality of images based on the index information.