TV Image Mode Configuration via Channel Detection
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Solution Overview
Problem
Current television systems lack the ability to automatically configure image modes based on the type of content being displayed, leading to suboptimal viewing experiences as users must manually adjust settings for different devices and content types.
Innovation Solution
A method and device that determine the current data transmission channel, obtain matching data parameters from a database, and configure an image mode using a preset algorithm, adjusting settings such as resolution ratio, brightness, and color saturation to match the content type, employing filters and gain factors to differentiate between standard-definition and high-definition signals and bandwidth types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the television system uses a fixed standard image mode for all content, then the system complexity is low and ease of operation is maintained, but the image quality and adaptability to different content types deteriorates
Solution Approach 1:
The television system automatically detects the data transmission channel type (HDMI, MHL, component, etc.) and self-configures the appropriate image mode without requiring user intervention. The system identifies content characteristics and autonomously adjusts image processing parameters, enabling the system to serve itself in optimizing display settings for different content types.
Solution Approach 2:
The system dynamically changes image processing parameters such as color encoding format (BT.601 vs BT.709), resolution ratio, brightness, and color saturation based on the detected data transmission channel and content type. This allows the television to adapt its technical parameters to match the specific requirements of different content sources, improving image quality while maintaining manageable system complexity through automated parameter selection.
2Ease of operation
If the television system automatically detects and configures image modes, then adaptability to different content types improves, but the device complexity and processing requirements increase
Solution Approach 1:
The television system performs automatic detection of the data transmission channel and content characteristics, then self-configures the optimal image mode without requiring user interaction. This eliminates the need for users to manually navigate through complex image settings, making the system easier to operate while the complexity is contained within the automated configuration mechanism.
3Manufacturing precision
If different image processing modes are used for different content types, then image quality improves, but the device complexity and number of processing modes increases
Solution Approach 1:
The system employs different image processing parameters and modes tailored to specific content types and data transmission channels. For example, it applies appropriate color encoding formats (BT.601 for standard definition, BT.709 for high definition) and adjusts resolution ratios, brightness, and color saturation based on the detected content characteristics. This targeted parameter adjustment improves image processing precision while the automated selection mechanism prevents the system complexity from becoming unmanageable.
Data Source
AI summary
Disclosed are a method and device for configuring an image mode. The method includes: determining a current data transmission channel, obtaining matching a data parameter in a database corresponding to the data transmission channel, where the data parameter include one or more of: a resolution ratio, a brightness and a color saturation, and configuring an image mode for playing the current data according to the data parameter and a preset algorithm.