Remote Display Rendering for Mobile Devices
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Solution Overview
Problem
Mobile devices face significant power drain due to display backlight consumption, with existing methods like dynamic range compression (DRC) limited in reducing power usage without compromising image quality, and remote image processing solutions are needed to optimize display settings based on real-time conditions and device properties.
Innovation Solution
A computer-implemented method and system for remote display rendering, where a mobile device is characterized based on a unique identifier and properties data, with local data collected to generate and process images for download, controlling the display component, particularly the backlight, to adjust brightness and other settings based on ambient light and user inputs, leveraging network processing to optimize image rendering and power usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If dynamic range compression (DRC) is applied to maintain image appearance at lower backlight intensities, then power consumption is reduced, but image quality deteriorates when excessive lightening reduction is applied
Solution Approach 1:
The system collects local data from the mobile device including ambient light conditions and device display properties, then uses this feedback to dynamically adjust the tone mapping parameters. This closed-loop feedback mechanism allows the system to optimize the balance between power consumption and image quality by adapting to real-time conditions rather than applying fixed DRC parameters.
Solution Approach 2:
The system changes multiple parameters simultaneously including tone mapping curves, local contrast enhancement factors, and backlight intensity levels based on the collected device properties and ambient conditions. By adjusting these parameters dynamically, the system maintains perceptual image quality while achieving significant power savings through optimized backlight control.
2Manufacturing precision
If tone mapping operators (TMO) are used for dynamic range compression, then image appearance is preserved at lower power levels, but computational complexity and latency increase
Solution Approach 1:
The computationally intensive tone mapping operations are extracted from the mobile device and performed remotely on a server or cloud platform. The mobile device only needs to collect local data and apply simple processing to the received processed image data, significantly reducing the computational burden and latency on the device while maintaining high-quality image appearance preservation through sophisticated remote processing.
Solution Approach 2:
A remote processing server acts as an intermediary between the original image source and the mobile device display. This intermediary performs the complex tone mapping and dynamic range compression operations, then returns the processed results to the mobile device for display. This intermediary approach enables sophisticated image processing without burdening the mobile device's computational resources.
3Adaptability or versatility
If local data collection and remote image processing are implemented, then display settings are optimized for real-time conditions, but system complexity increases
Solution Approach 1:
The system performs preliminary characterization of the mobile device's display properties and stores this information for future use. By pre-collecting and storing device-specific parameters such as display panel characteristics and ambient light sensor responses, the system avoids repeated complex measurements and processing, reducing overall system complexity while maintaining high adaptability to different devices and conditions.
Data Source
AI summary
An image is remotely processed over a network. An electronic device is characterized based on a unique identifier associated therewith and properties data, which relate to display related properties of the device. Local data is collected from the device in relation to real-time conditions and control data and, which correspond to the device in relation to the characterizing. The image is remotely generated for download to the device and includes processing data. The processing data are based on the properties data and the local data.