Graininess Confirmation Region Determination for Image Processing
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Solution Overview
Problem
Existing photographing devices lack an efficient method to confirm and set the effect of graininess, which is crucial for enhancing image quality, especially in digital cameras, as the effect of granular noise is not evenly visible across all parts of an image, making it difficult for users to achieve desired graininess.
Innovation Solution
An image effect processing support apparatus and method that determines a confirmation region for conspicuous graininess within an image and displays an effect indication, allowing users to easily confirm and adjust the graininess by setting a graininess confirmation region and providing intuitive granularity adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If granular noise is added to the entire image, then graininess effect is achieved, but the visibility of graininess varies across different parts of the image making it difficult to confirm the effect
Solution Approach 1:
The image is divided into multiple regions based on graininess visibility characteristics. The determination section identifies high-visibility regions where graininess can be easily confirmed, and separately identifies low-visibility regions. This segmentation allows the system to apply different processing strategies to different parts of the image, enabling users to confirm graininess effects in optimal regions while the processing section enhances visibility in challenging regions.
Solution Approach 2:
Different image regions are assigned different graininess enhancement levels based on their visibility characteristics. High-visibility regions receive standard processing, while low-visibility regions receive enhanced processing to ensure graininess becomes noticeable. This local quality approach ensures that graininess effect is uniformly perceivable across the entire image, regardless of regional variations in visibility.
2Measurement precision
If graininess is enhanced in all regions, then visibility is improved, but processing complexity and time increase
Solution Approach 1:
Instead of applying graininess enhancement uniformly across the entire image, the processing section applies enhanced processing only to low-visibility regions identified by the determination section. High-visibility regions receive standard processing. This partial action approach maintains graininess visibility in all regions while significantly reducing overall processing time and computational complexity.
3Manufacturing precision
If graininess is added to improve image texture, then representation quality improves, but it becomes difficult to control and adjust the graininess effect
Solution Approach 1:
The display section provides visual feedback by displaying the image with graininess effects applied to different regions. Users can observe the graininess effect in high-visibility and low-visibility regions and adjust graininess parameters accordingly. This feedback mechanism enables users to control and fine-tune the graininess effect to achieve desired image quality representation.
Data Source
AI summary
An image effect processing support apparatus includes: an image effect processing section that performs a specific image effect processing on an image; a confirmation region determination section that determines an effect of the specific image effect processing for each part of the image, and based on a result of the determination, determines and sets a confirmation region for confirming the effect of the image effect processing; and a display control section that displays an effect indication that shows the effect of the image effect processing in the confirmation region on a display section, to thereby enable an effect of a filter effect processing to be easily confirmed.