Mobile Device Foreground Dimension-Based Image Effect Adjustment
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Solution Overview
Problem
Current mobile devices face challenges in making camera effects such as brightness, saturation, and bokeh more accessible and in improving photo quality to match those taken by monocular cameras, especially in adjusting image effects intuitively based on the distance between the target object and the device.
Innovation Solution
A mobile device with a camera unit, processing unit, and display unit that separates foreground and background portions of an image, calculates the dimension of the foreground, generates an adjustment level correlated with the dimension, and applies image effects to generate a processed image, allowing for intuitive adjustment of image effects by moving the device without additional interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional camera effects (brightness, saturation, bokeh) are applied to enhance photo quality, then image quality is improved, but the complexity of operation and interface control increases
Solution Approach 1:
The system automatically adjusts image effects by itself based on the detected dimension of the foreground object. The processing unit calculates the foreground dimension and autonomously determines the adjustment level for bokeh and other effects, eliminating the need for manual user intervention and complex interface operations while maintaining high photo quality
Solution Approach 2:
The patent changes the parameter of foreground object dimension (calculated from image data) to control the adjustment level of image effects. By mapping the foreground dimension to effect strength, the system automatically adapts bokeh, brightness, and saturation levels based on the subject's size in the frame, simplifying operation while preserving image quality
2Adaptability or versatility
If manual adjustment interfaces are provided for image effects, then user control is improved, but device complexity and interface requirements increase
Solution Approach 1:
The mobile device performs self-adjustment of image effects by automatically detecting foreground dimensions and calculating appropriate adjustment levels. This eliminates the need for additional user interface elements, sliders, or menus that would increase device complexity, while still providing adaptive control based on the captured scene
Solution Approach 2:
The system uses feedback from the image processing pipeline itself - by analyzing the foreground dimension in the captured image, the system determines the appropriate effect strength. This internal feedback mechanism replaces external interface controls, maintaining adaptability without adding interface complexity
3Ease of operation
If additional user interfaces are added for adjusting image effects, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The mobile device automatically adjusts image effects based on foreground dimension without requiring any additional user interface elements. The processing unit calculates the adjustment level directly from the captured image data, making the device self-sufficient and eliminating the need for extra buttons, sliders, or menus
Solution Approach 2:
The existing camera interface serves multiple functions: it captures the image, detects the foreground object, calculates its dimension, and uses this information to automatically adjust image effects. This multi-functionality eliminates the need for separate adjustment interfaces, maintaining ease of operation without increasing device complexity
Data Source
AI summary
An image processing method, suitable for a mobile device including a camera unit and a display unit, includes separating a foreground portion and a background portion of a first image sensed by the camera unit, calculating a dimension of the foreground portion, generating an adjustment level in positively correlated with the dimension, applying an image effect at the adjustment level to the foreground or the background portion of the first image to generate a second image, and displaying the second image on the display unit.