Digital Camera Depth of Field Auto-Adjustment via Object Distance Analysis
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Solution Overview
Problem
Common users of digital cameras lack the knowledge to adjust camera parameters effectively, leading to unsatisfactory images due to incorrect selection of depth of field modes, resulting in either fuzzy scenery or macro images.
Innovation Solution
A method that automatically adjusts the depth of field by dividing the image into detected blocks, calculating object distances, generating a cumulative curve, smoothing it, and adjusting aperture or focal length based on the most frequent object distance to achieve optimal depth of field settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual adjustment of camera parameters is required, then depth of field can be optimized, but user operation complexity increases and users without photography knowledge cannot achieve satisfactory results
Solution Approach 1:
The camera system automatically analyzes the pre-shot image to detect object distances and cumulative distribution curves, then self-adjusts the depth of field parameters without requiring manual user input. The system serves itself by processing the image data and determining optimal parameters autonomously.
Solution Approach 2:
The system performs preliminary image shooting and analysis before finalizing the depth of field adjustment. By pre-shooting the image and analyzing it to detect object distances and generate cumulative distribution curves, the system prepares the necessary data to automatically determine optimal parameters in advance.
2Manufacturing precision
If depth of field parameters are adjusted manually, then image quality can be optimized, but the risk of incorrect selection increases leading to fuzzy scenery or macro images
Solution Approach 1:
The system uses feedback from image analysis to automatically adjust parameters. By analyzing the pre-shot image to detect object distances and generating cumulative distribution curves, the system receives feedback about the scene composition and automatically selects appropriate depth of field parameters, eliminating guesswork and ensuring accurate parameter selection.
Solution Approach 2:
The manual mechanical adjustment process is replaced with an automated computational system. Instead of requiring manual parameter selection, the system uses image processing algorithms to automatically determine optimal depth of field settings, replacing human decision-making with automated computational analysis.
3Ease of operation
If automatic parameter adjustment is implemented, then ease of operation improves, but device complexity increases due to image processing requirements
Solution Approach 1:
The image processing task is segmented into distinct functional steps: pre-shot image capture, object distance detection, cumulative distribution curve generation, and parameter adjustment. By dividing the complex process into manageable segments, the system reduces overall complexity while maintaining automatic operation.
Data Source
AI summary
A method of automatically adjusting a depth of field, suitable for adjusting settings relevant to the depth of field when pre-shooting an image to be shot through a digital camera, includes capturing an image to be shot; dividing the image into a plurality of detected blocks; performing a statistic process for an object distance on each detected block, and recording an object distance value of each detected block; generating an object-distance cumulative curve according to the object distance value of each detected block; performing a smoothing process to eliminate peak curves generated in the object-distance cumulative curve; looking up a mode of all the object distance values and a corresponding detected block according to the object-distance cumulative curve; adjusting corresponding aperture and focal length of the digital camera according to the corresponding detected block. The user shoots images at different sites without adjusting the digital camera into corresponding shoot mode.