TV Image Data Transmission with Selective MEMC Processing
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Solution Overview
Problem
Current Frame Rate Conversion (FRC) chips in intelligent TV sets lack the ability to selectively enable or disable the Motion Estimation and Motion Compensation (MEMC) function for specific pixel areas, leading to suboptimal image quality when displaying mixed OSD and video data, resulting in artifacts or poor display effects.
Innovation Solution
The method involves redefining the 24th or 25th bit in the V-by-One protocol to indicate whether pixels are OSD or video pixels, allowing the FRC chip to determine and selectively apply the MEMC function, thereby improving image quality and user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the MEMC function is applied to the entire image, then video pixel smoothness is improved, but menu OSD pixel quality deteriorates due to unnecessary processing and artifacts
Solution Approach 1:
The image is segmented into different pixel types (video pixels and menu OSD pixels) based on their functional requirements. The processor identifies and separates these pixel types, allowing different processing strategies to be applied to each segment, thereby avoiding artifacts in menu areas while maintaining smoothness in video areas.
Solution Approach 2:
Different processing qualities are applied to different regions of the image. Video pixels receive full MEMC processing for smooth motion, while menu OSD pixels receive reduced or no MEMC processing to prevent artifacts. This local differentiation of processing quality resolves the contradiction between overall image quality and local artifact prevention.
2Device complexity
If the MEMC function is disabled for the entire image, then processing complexity is reduced, but video pixel smoothness deteriorates due to lack of motion compensation
Solution Approach 1:
The image is segmented into video pixels and menu OSD pixels, allowing selective application of MEMC processing. This segmentation enables the system to apply complex processing only where needed (video pixels) while skipping it in menu areas, thus balancing processing complexity with video smoothness requirements.
Solution Approach 2:
Instead of applying MEMC processing to the entire image (excessive action) or none at all (insufficient action), the system applies partial MEMC processing only to video pixels. This partial action approach achieves the necessary video smoothness while avoiding unnecessary processing complexity.
3Adaptability or versatility
If pixel type information is added to the data stream, then selective MEMC processing is enabled, but data transmission bandwidth increases
Solution Approach 1:
Pixel type information is embedded locally within the pixel data structure rather than adding separate global metadata. This allows the data stream to carry necessary identification information with minimal overhead, enabling selective MEMC processing while maintaining efficient bandwidth utilization.
Data Source
AI summary
The disclosure discloses a method for transmitting image data and an intelligent TV set. The method includes transmitting, by a primary chip, image data to a second chip. The image data comprises pixel data including a pixel type for indicating that a pixel in the image to be displayed is a menu On-Screen Display (OSD) pixel or a video pixel. The method includes receiving, by the second chip, the image data, and determining the pixel type in the image data. The method further includes performing, by the second chip, a Motion Estimate and Motion Compensation (MEMC) function on the pixel in response to the pixel type being the video pixel, and not performing the MEMC function on the pixel in response to the pixel type of the pixel being the menu OSD pixel.