Screen Mirroring Color Gamut Negotiation for Display Consistency
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Solution Overview
Problem
There is a significant color difference between image resources displayed on electronic devices and large-screen devices during mirroring, degrading user experience due to differences in color gamuts supported by these devices.
Innovation Solution
The electronic device negotiates with the large-screen device to determine a color gamut with the widest common range, converts image resources to this gamut, and sends them for display, allowing the large-screen device to use a dynamic adaptive optimal color gamut.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the electronic device directly encodes and transmits image resources to the large-screen device without color gamut adaptation, then the transmission process remains simple and fast, but a significant color difference exists between the displays, degrading user experience
Solution Approach 1:
The electronic device performs color gamut negotiation and image resource conversion in advance before transmission. By determining the target color gamut (first color gamut) that is supported by both devices and converting the image resource from its original color gamut (second color gamut) to the target color gamut beforehand, the system ensures color consistency without adding complexity to the transmission process itself
Solution Approach 2:
The system changes the color gamut parameter of the image resource from the second color gamut to the first color gamut. This parameter transformation ensures that the image resource's color representation is adapted to match the large-screen device's display capabilities, resolving the color difference issue while maintaining a relatively simple overall process
2Adaptability or versatility
If the electronic device uses a fixed color gamut for mirroring, then the processing process remains simple, but it cannot adapt to different large-screen devices with varying color gamut capabilities, reducing versatility
Solution Approach 1:
The system dynamically determines the target color gamut based on the specific large-screen device being used. Through color gamut negotiation between the electronic device and the large-screen device, the system adapts to different color gamut capabilities (such as sRGB, P3, Adobe RGB) of different devices. This dynamic adaptation ensures versatility across various devices while keeping the negotiation process integrated and manageable
Solution Approach 2:
The system changes the color gamut parameter of the image resource from the second color gamut to the first color gamut. This parameter transformation ensures that the image resource's color representation is adapted to match the large-screen device's display capabilities, resolving the color difference issue while maintaining a relatively simple overall process
Data Source
AI summary
This application provides a mirroring method, an apparatus, and a system. In the method, in a process in which an electronic device such as a mobile phone or a tablet and a large-screen device share an image resource through mirroring, a color gamut of a collected image resource may be converted into a color gamut obtained through negotiation between the electronic device and the large-screen device, the converted image resource may be sent to the large-screen device, and the large-screen device displays the image resource in the negotiated color gamut. According to the technical solutions provided in this application, the large-screen device may use a dynamic adaptive optimal color gamut during mirroring, that is, a color difference between the image resource displayed on the electronic device and the large-screen device may be reduced in the mirroring process. This improves users' visual experience during mirroring.