Image Processing Module Subject Detection via Regional Weighting
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Solution Overview
Problem
Traditional cameras lack the ability to detect the subject of an image automatically, leading to blurring when the desired object is not centered, resulting in poor image quality.
Innovation Solution
An imaging device with an image capturing module and an image processing module that captures a temporal image, defines regions based on the image center, assigns initial values to objects, modifies these values, sorts them, and selects the subject for focusing operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional cameras rely on user to direct focusing direction, then device complexity is reduced, but image quality deteriorates when desired object is not centered
Solution Approach 1:
The imaging device performs automatic subject detection and selection without requiring user intervention. The image processing module automatically identifies objects, calculates scores based on regional weights, and determines the subject, allowing the device to serve itself in the focusing process
Solution Approach 2:
The system performs preliminary subject detection and scoring before the actual photographing operation. By pre-identifying the subject and calculating regional weights in advance, the system prepares the focusing information needed for high-quality imaging
2Ease of operation
If user does not direct focusing direction precisely, then ease of operation is improved, but image quality deteriorates due to blurring
Solution Approach 1:
The imaging device automatically detects subjects and determines focusing directions without requiring precise user operation. The system self-corrects the focusing direction by identifying the subject's position and calculating appropriate regional weights, eliminating the need for user precision while maintaining image quality
Solution Approach 2:
The system provides visual feedback by displaying the detected subject and regional weights on the display unit. This allows users to see what the system has identified and makes adjustments if needed, creating a feedback loop that improves both ease of operation and image quality
3Manufacturing precision
If automatic subject detection is implemented, then image quality is improved through accurate focusing, but device complexity increases
Solution Approach 1:
The image processing module divides the captured image into multiple regions and assigns different weights to each region. By segmenting the image and applying regional weighting, the system efficiently identifies the subject without requiring complex artificial intelligence algorithms, thus improving image quality while controlling device complexity
Solution Approach 2:
The system changes parameters by assigning different weights to different regions of the image. By adjusting these regional weight parameters, the system optimizes subject detection accuracy without adding significant hardware complexity, achieving improved image quality through software-based parameter optimization
Data Source
AI summary
A method of detecting the subject of an image and imaging device thereof are disclosed. The method comprises the following steps of providing an image capturing module to capture the temporal image, providing the image processing module to receive the temporal image and to determine a plurality of objects from the temporal image, using the image processing module to define a plurality of regions on the temporal image based on the center of temporal image, using the image processing module to assign an initial setup value to each of the objects according to the region corresponding to each of the objects, using the imaging processing module to execute an operation to increase or decrease each of the initial setup values, using the image processing module to execute a sorting, and selecting at least one of the objects as a subject of the temporal image.