Parallel Tonality Adjustment for Image Search and Display
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Solution Overview
Problem
Existing image processing apparatuses for digital cameras face challenges in reproducing and searching for face images due to tonality issues, which can be affected by the color of the face and the properties of the display device, leading to deteriorated performance.
Innovation Solution
An image processing apparatus that includes a fetcher, a first adjuster to adjust tonality based on the display device properties, an object-scene-image outputter, a second adjuster to adjust tonality in parallel, and a first searcher to find matching object images, ensuring improved reproduction and search performance by adjusting tonality according to both display device properties and registered object images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a common input image is adjusted by a single input-image adjustment element, then the device complexity is reduced, but the performance of reproducing face images and searching for face images deteriorates due to tonality issues affecting both display quality and search accuracy
Solution Approach 1:
The patent divides the single input image into two separate adjusted images: a first adjusted image optimized for display device tonality and a second adjusted image optimized for registered object image tonality. This segmentation allows each image to be processed with different tonality adjustments, resolving the contradiction between device simplicity and performance by creating parallel processing paths for different purposes.
Solution Approach 2:
The patent applies different tonality adjustment characteristics to different portions of the processing system. The first input-image adjustment element adjusts tonality according to display device properties, while the second input-image adjustment element adjusts tonality according to registered object image properties. This local quality approach ensures each processing path has optimized characteristics for its specific purpose.
2Manufacturing precision
If tonality is adjusted according to display device properties, then the image reproduction quality is improved, but the search performance for face images deteriorates due to mismatched tonality
Solution Approach 1:
The patent creates separate processing paths: one path adjusts tonality for display device optimization while another path adjusts tonality for registered object image matching. This segmentation ensures that display quality and search accuracy each receive their optimal tonality treatment without interfering with the other.
Solution Approach 2:
The patent performs preliminary tonality adjustment on the input image according to registered object image properties before the search process, ensuring that the tonality characteristics are pre-matched for optimal search accuracy. This preliminary action prevents tonality mismatch from degrading search performance.
3Measurement precision
If tonality is adjusted according to registered object images, then the search performance is improved, but the reproduction quality on display devices deteriorates due to ignoring display device properties
Solution Approach 1:
The patent divides the processing into separate paths where one path handles tonality adjustment for search accuracy based on registered object images, while another path handles tonality adjustment for display quality based on display device properties. This segmentation resolves the contradiction by allowing both optimizations to coexist in their respective processing streams.
Solution Approach 2:
The patent creates a multi-functional system where the input image processing can serve dual purposes: one adjusted image optimizes for search accuracy while another optimizes for display quality. This universality allows the system to adapt to different requirements without compromising either function.
Data Source
AI summary
An image processing apparatus includes a fetcher. A fetcher fetches an object scene image. A first adjuster adjusts a tonality of the object scene image fetched by the fetcher, corresponding to a property of a display device. An object scene image outputter outputs the object scene image having the tonality adjusted by the first adjuster, toward the display device. A second adjuster adjusts the tonality of the object scene image fetched by the fetcher, in parallel with the adjusting process of the first adjuster. A first searcher searches for an object image that coincides with a registered object image from the object scene image having the tonality adjusted by the second adjuster.