HDR Image Capture Parameter Control for Power-Efficient Zooming
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Solution Overview
Problem
The computational complexity and resource-intensive nature of combining multiple exposures for high dynamic range (HDR) image capturing, particularly in mobile devices with limited battery power, necessitates more efficient methods to reduce power consumption and maintain image quality.
Innovation Solution
A method and apparatus that adjust image capturing parameters based on field of view and user interaction, using different pixel count values and exposure settings to optimize image fusion, allowing for power-efficient HDR image capturing by adjusting parameters such as pixel count and exposure to maintain image quality during zooming.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If multiple images are combined for HDR image capturing, then image quality and dynamic range are improved, but computational complexity and power consumption increase
Solution Approach 1:
The patent applies partial action by selectively combining multiple images only for specific regions of interest rather than processing the entire image. The system identifies important regions (such as faces or objects) and performs HDR fusion only in those areas, while using single-exposure images for other regions, thereby reducing overall computational complexity and power consumption while maintaining image quality where it matters most
Solution Approach 2:
The patent segments the image into different regions and applies different processing strategies to each segment. Important regions undergo full HDR fusion with multiple exposures, while less critical regions use simplified processing or single-exposure data, reducing the total computational burden and power consumption while preserving image quality in key areas
2Illumination intensity
If pixel binning is used to capture HDR images, then low-light performance is improved, but image resolution decreases
Solution Approach 1:
The patent applies local quality by using pixel binning selectively in low-light regions while maintaining full resolution in well-lit areas. The system analyzes illumination conditions across different parts of the image and applies appropriate processing strategies locally, preserving resolution in bright regions while enhancing low-light performance in darker areas through controlled binning and fusion
3Use of energy by moving object
If parameters are adjusted based on field of view and user interaction, then power efficiency is improved, but image capturing complexity increases
Solution Approach 1:
The patent implements feedback mechanisms that monitor user interactions (such as zooming, panning, or region selection) and dynamically adjust image capturing parameters in real-time. The system uses this feedback to determine which regions require high-resolution HDR processing and which can use lower-power modes, optimizing power efficiency while managing complexity through adaptive, context-aware parameter adjustment
Data Source
AI summary
Systems and methods for image fusing are described. In examples, a first image of a scene may be obtained associated with a first parameter and a second image of the scene may be obtained associated with a second parameter. The first image and the second image may be fused to obtain at least one first fused image. A third image of the scene may be obtained associated with a third parameter and a fourth image of the scene may be obtained associated with a fourth image. At least one parameter associated with the third image and the fourth image used to obtain the images may be adjusted, wherein the adjustment may be based at least in part on a field of view of the at least one first fused image. The third image and the fourth image may be fused to obtain a second fused image.