Image Correction Intensity Adjustment for Enlarged Photos
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Solution Overview
Problem
Existing image correction techniques fail to maintain natural image quality when enlargement processing is performed, as the intensity of correction can result in unnatural-looking enlarged images, even when the same correction is applied.
Innovation Solution
An image processing apparatus that adjusts the intensity of correction based on whether enlargement processing is performed, using a combination of deep learning and filtering-based methods to generate a final enlarged image, with adjustable composition rates to balance resolution feeling and stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If the same correction intensity is applied to both enlarged and non-enlarged images, then the correction process is simple and consistent, but the enlarged image appears unnatural and loses quality
Solution Approach 1:
The correction intensity is made dynamic rather than static. The system automatically adjusts the correction intensity based on whether enlargement processing is applied to the image. When enlargement is detected, the correction intensity is reduced; when no enlargement is applied, the full correction intensity is used. This dynamic adjustment resolves the contradiction by adapting the correction process to the specific usage scenario, ensuring natural appearance in enlarged images while maintaining quality in non-enlarged images.
2Manufacturing precision
If the correction intensity is reduced for enlarged images, then the natural appearance is preserved, but the correction effect is weaker overall
Solution Approach 1:
Different correction intensities are applied based on the local condition of the image processing workflow. The system identifies whether the image will be enlarged and applies appropriate correction intensity accordingly. This local adaptation ensures that each image receives the optimal correction intensity for its specific processing path, resolving the contradiction between maintaining natural appearance and preserving correction effect strength.
Solution Approach 2:
The correction intensity parameter is changed based on the enlargement condition. The system modifies this key parameter dynamically - using higher intensity for non-enlarged images and lower intensity for enlarged images. This parameter change strategy allows the system to optimize correction effectiveness for each scenario, preventing the contradiction between natural appearance and correction strength.
3Measurement precision
If deep learning-based enlargement is applied, then resolution feeling is enhanced, but excessive enhancement and unnatural appearance occur with standard correction intensity
Solution Approach 1:
The system applies preliminary anti-action by detecting when deep learning-based enlargement will be applied and preemptively reducing the correction intensity before the enlargement process. This preventive measure counteracts the potential harmful effect of excessive enhancement that would otherwise occur when high correction intensity is combined with deep learning enlargement, thus resolving the contradiction between resolution enhancement and natural appearance.
Data Source
AI summary
An image processing apparatus includes one or more memories and one or more processors. The one or more processors and the one or more memories are configured to perform correction on an image and perform enlargement on the corrected image, wherein intensity of the correction in a case where the enlargement is performed is different from the intensity of the correction in a case where the enlargement is not performed.