Digital Image Center of Balance Calculation
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Solution Overview
Problem
Current systems lack real-time feedback and computational methods to determine and improve the aesthetic quality of digital images, particularly in capturing and editing processes, and fail to effectively guide users in achieving balanced and harmonious image composition.
Innovation Solution
A system that calculates a center of balance (CoB) for digital images by assigning notional weights to pixels based on color values, edge proximity, and location, then uses these weights to determine an initial and final CoB, which can guide users in adjusting image composition and assess aesthetic quality through an aesthetic score.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If real-time image processing and aesthetic quality assessment are implemented, then image composition quality is improved, but processing time and computational resources are increased
Solution Approach 1:
The patent segments the image processing task by analyzing different color channels (red, green, blue) independently to determine their respective centers of balance, then combines these results to determine the final overall center of balance. This segmentation allows for more efficient processing compared to analyzing the entire image at once, as each channel can be processed in parallel and the results are then synthesized.
2Measurement precision
If multiple color channels are analyzed to determine center of balance, then aesthetic quality assessment accuracy is improved, but computational complexity is increased
Solution Approach 1:
The patent divides the computational task into separate color channel analyses (red, green, blue channels), where each channel is processed independently to determine its center of balance. This segmentation reduces the complexity of analyzing the entire multi-channel image simultaneously, as each channel can be handled with simpler, dedicated computations that are then combined through weighted averaging.
3Manufacturing precision
If center of balance calculation is used to guide image capture, then image composition is improved, but feedback delay is increased
Solution Approach 1:
The patent performs preliminary calculations of the center of balance during the image capture process itself, rather than requiring post-processing. By calculating the centers of balance for each color channel and determining the overall center of balance in real-time as the image is captured, the system provides immediate feedback to the user without requiring additional processing time after the image is taken.
Data Source
AI summary
An image processing system acquires a digital image and determines notional weights for each pixel in the image. The notional weight of each pixel relates to the pixel's color value of the pixel and may include adjustments. The system uses the notional weights for each pixel to determine a center of balance (CoB) for the image. The system may then determine an eccentricity of the CoB based on a distance between the CoB and a specified location in the digital image. The system may calculate an aesthetic score for the digital image as a function of the determined eccentricity. The system may display an augmented reality overlay on the image to show the CoB and/or other determined features. The system may use the CoB, eccentricity or aesthetic value to help improve a real-time image capture process, in a security protocol, and/or to determine whether to retain an image in memory.