Camera Image Sharpness Test via Contrast Comparison
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Solution Overview
Problem
Users of digital cameras face challenges in determining whether captured images are sharp enough, especially when images appear clear on small LCD screens but blurry on larger displays, leading to unexpected results and increased time and cost for beginners to develop photography skills.
Innovation Solution
An image unsharpness test method for camera devices that compares the sharpness of captured images with a contrast image selected during the focusing stage, using calculations of pixel values to determine if the images share the same vision and meet sharpness criteria, providing instant feedback and proposal messages for improvement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the image resolution is increased to improve image quality, then the image definition is maintained even when magnified, but the memory space occupied increases and a bigger memory is needed
Solution Approach 1:
The system performs preliminary actions by capturing multiple images during the focusing stage before the final capture. These preliminary images are used to calculate sharpness values and select a contrast image for comparison, allowing the system to determine sharpness before the user views the final image on a large display device.
Solution Approach 2:
The system creates a copy of the captured image by comparing it with the contrast image selected during focusing. This copy mechanism allows the system to evaluate sharpness through pixel value calculations without requiring additional physical memory expansion, as the comparison is performed digitally on the existing image data.
2Measurement precision
If the LCD viewer size is increased to display images more clearly, then the image can be viewed with better detail, but the portability of the camera decreases
Solution Approach 1:
The system provides immediate feedback to the user by calculating sharpness values from the captured image and comparing it with the contrast image. The system displays this sharpness information on the LCD viewer, allowing users to assess image quality before viewing on larger displays, thus maintaining the convenience of small LCD viewing while ensuring image quality.
Solution Approach 2:
The system replaces the mechanical limitation of small LCD screens with a digital comparison mechanism. Instead of relying on the physical size of the display device, the system uses pixel value calculations and image comparison to determine sharpness, substituting mechanical display limitations with digital processing capabilities.
3Measurement precision
If multiple images are captured during focusing stage to improve sharpness assessment, then the sharpness determination accuracy is improved, but the time required for image capture and processing increases
Solution Approach 1:
The system performs preliminary image capture and sharpness calculation during the focusing stage, before the final image is captured. By pre-calculating sharpness values from multiple preliminary images and selecting a contrast image, the system reduces the time needed for post-capture processing and sharpness assessment.
Solution Approach 2:
The system captures more images during the focusing stage than strictly necessary, using excessive preliminary images to ensure accurate sharpness determination. This partial over-sampling allows the system to select the best contrast image and achieve reliable sharpness assessment without significantly impacting overall capture time.
Data Source
AI summary
An image unsharpness test method for a camera device, wherein firstly, during the focusing stage of an electronic camera device, the image with the highest sharpness is selected to be a contrast image; next, the contrast image is compared with a captured image to obtain the sharpness difference is too great, the captured image is determined to unsharp; vice versa, if the difference is very small, the captured image is determined to be sharp. Thereby, the image unsharpness test method for a camera device of the present invention not only can determine whether a captured is sharp enough but also can reduce the photographic errors and promote photographic efficiency.