Scene Recognition Image Quality Adjustment
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Solution Overview
Problem
Conventional electronic devices analyze images based on raw pixel data rather than contextual information, leading to image quality settings that do not align with user context, increasing complexity in selecting filters or photographing modes and resulting in suboptimal image adjustments.
Innovation Solution
An electronic device with a camera, processor, and memory that identifies regions of interest and background types in images, determines scenes based on recognized objects and background types, and adjusts image quality settings using specific parameters corresponding to the identified scene to align with user context.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image analysis is performed based on raw pixel data, then the analysis process is simple, but the results do not correspond to user context
Solution Approach 1:
The patent segments the image into multiple regions of interest (ROIs) based on object detection and scene recognition. Instead of analyzing the entire image uniformly, the system divides it into distinct regions (e.g., foreground objects, background, sky, water) and applies different analysis methods to each region, improving contextual understanding while managing complexity through localized processing
Solution Approach 2:
The patent introduces scene recognition as an intermediary layer between raw pixel data and final image analysis. The scene recognition module acts as a mediator that interprets the overall context (e.g., beach scene, mountain landscape, urban environment) and guides subsequent region identification and object detection processes, enabling more accurate contextual analysis without directly processing all raw pixels
2Adaptability or versatility
If multiple filters and photographing modes are provided for adjusting image quality, then the adaptability is improved, but the operation complexity increases
Solution Approach 1:
The patent implements automatic scene-based image quality adjustment where the system autonomously selects appropriate filters and photographing modes based on detected scenes and objects. The device performs self-service by automatically analyzing the image content, determining the scene type (e.g., sunset, ocean, forest), and applying optimal image quality settings without requiring user intervention in filter selection, thereby maintaining high adaptability while simplifying operation
Solution Approach 2:
The patent dynamically changes image quality parameters (such as brightness, contrast, saturation, sharpness) based on the recognized scene type and detected objects. The system automatically adjusts these parameters according to the detected context (e.g., increasing warmth for sunset scenes, enhancing contrast for landscape photos), providing versatile image quality adjustment through automated parameter modification rather than manual filter selection
Data Source
AI summary
An electronic device and a method for setting image quality are provided. An electronic device includes a camera, a memory, and a processor configured to obtain, using the camera, a plurality of images for one or more external objects, identify a region of interest and a background region using one or more images of the plurality of images, recognize a first object included in the region of the interest, identify a type of the background region by recognizing a second object included in the background region, determine a scene corresponding to the one or more images, based on the recognized first object and the identified type of the background region, and adjust at least one of an image quality setting associated with the camera or an image quality setting associated with the one or more images using a specified image quality setting corresponding to the determined scene.