Image Correction Apparatus Confirmation Range Edge Detection
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Solution Overview
Problem
Existing image correcting methods for photographic apparatuses, such as digital cameras, struggle to clearly show the effect of corrections, especially on small screens, making it difficult for operators to identify and confirm the impact of image processing.
Innovation Solution
An image correcting method that acquires original image information, sets a confirmation range based on edge detection and orientation, corrects the image within this range, and displays both the original and corrected images to precisely show the correction effect, allowing for easier confirmation and modification of hand-movement blurring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the entire image is corrected and displayed, then the correction effect can be shown, but it becomes difficult to locate the portion that distinctly reveals the correction effect, especially on small screens
Solution Approach 1:
The patent divides the image into multiple regions and selectively displays only those regions that contain significant correction effects. This segmentation approach allows the system to focus on areas where correction is most needed, making it easier for users to verify correction quality without being overwhelmed by the entire image, particularly on small screens.
Solution Approach 2:
The patent applies different display qualities or processing to different parts of the image. Specifically, regions with significant correction effects are displayed with higher priority or enhanced visibility, while other regions are displayed normally or with reduced detail. This local differentiation helps users quickly identify and assess correction effects in critical areas.
2Manufacturing precision
If image correction is applied to the entire image, then comprehensive correction is achieved, but processing time and computational resources increase
Solution Approach 1:
The patent extracts and processes only the necessary portions of the image that require correction. By identifying regions with hand-movement blurring or other degradation and applying correction algorithms specifically to these areas, the system achieves effective image correction while significantly reducing computational load and processing time compared to correcting the entire image.
Solution Approach 2:
The patent applies correction selectively to specific regions rather than uniformly across the entire image. This partial action approach focuses computational resources on areas where correction is most needed, achieving sufficient correction quality while improving processing efficiency and reducing overall computational requirements.
Data Source
AI summary
An image correcting method includes: (a) acquiring original image information to be corrected; (b) setting a confirmation range for confirming an effect of a correction; (c) producing corrected image information; and (d) displaying, on an image display section, an original image based on the original image information and a corrected image based on the corrected image information. The confirmation range is set based on the original image information. The corrected image information is produced by correcting the original image information within the confirmation range.