Region-Based Image Quality Processing for Digital Cameras
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Solution Overview
Problem
Digital cameras face challenges in specifying and automatically adjusting imaging conditions and image processing conditions based on the surrounding environment, leading to suboptimal image quality.
Innovation Solution
An image processing apparatus and method that acquires image data, allows user selection of image regions, chooses appropriate image quality processing based on the selected region and environmental conditions, and presents information on the processing to be applied, enabling tailored image quality adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automatic specification of imaging conditions is implemented, then ease of operation is improved, but image quality may deteriorate due to inability to handle diverse environmental conditions
Solution Approach 1:
The image processing apparatus divides the image into multiple regions and applies different image quality processing to each region based on its characteristics. This segmentation allows the system to maintain ease of automatic operation while achieving high image quality by treating different areas of the image differently according to their specific requirements.
Solution Approach 2:
The system applies locally-adapted image processing by analyzing the characteristics of each image region and selecting appropriate processing methods for that specific area. This local quality approach enables the apparatus to optimize image quality for diverse environmental conditions within different regions of the same image, resolving the contradiction between automatic operation and image quality.
2Manufacturing precision
If region-based image quality processing is applied, then image quality is improved, but device complexity increases
Solution Approach 1:
The apparatus segments the image into multiple regions and applies different processing to each, improving image quality through localized optimization. The segmentation approach manages complexity by organizing processing into distinct regional units rather than treating the entire image uniformly.
Solution Approach 2:
The system performs automatic region classification and processing selection based on image characteristics, reducing the need for manual intervention and complex user configuration. This self-service capability allows the apparatus to autonomously determine appropriate processing for each region, improving image quality while keeping the user interface simple.
3Adaptability or versatility
If multiple image quality processing options are provided, then adaptability is improved, but ease of operation deteriorates due to user selection burden
Solution Approach 1:
The system provides adaptability by applying different image quality processing to different regions based on their characteristics, while maintaining ease of operation through automatic selection. The apparatus analyzes each region and autonomously determines the most appropriate processing method, eliminating the need for users to manually select processing options for each area.
Solution Approach 2:
The apparatus performs self-service by automatically classifying regions and selecting appropriate image quality processing without requiring user input. This autonomous operation provides high adaptability to diverse image content while keeping the user interface simple and easy to operate.
Data Source
AI summary
An image processing apparatus to be employed at an imaging device. An image acquisition section acquires data of an image. An input operation receiving section receives an operation for selection of an image region of the image data acquired by the image acquisition section. An image quality processing choosing section chooses image quality processing to be applied to the image data acquired by the image acquisition section in accordance with the image region received by the input operation receiving section. An image quality processing information presentation section presents information relating to the image quality processing chosen by the image quality processing decision section.