Dynamic Parameter Selection for Mixed NTSC Signal Image Quality
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Solution Overview
Problem
Portable devices like notebook PCs face challenges in displaying image signals due to power consumption constraints and circuit scale limitations, resulting in inadequate image quality, especially when handling mixed signals compliant and non-compliant with standards like NTSC, and require optimal brightness and color correction.
Innovation Solution
An image processing device that stores and selects parameters based on input signals to perform signal processing, allowing for vivid display by dividing signals into background and window areas and adjusting parameters accordingly, with a detection unit determining signal levels to apply appropriate gamma and color correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If existing image processing devices perform uniform processing for all image signals, then the processing is simple, but image quality is insufficient and cannot satisfy different signal types
Solution Approach 1:
The patent implements dynamic parameter selection based on signal type detection. The system automatically identifies whether an image signal is NTSC-compliant or non-compliant and adjusts processing parameters accordingly. This allows the processing device to adapt its behavior dynamically rather than using fixed uniform processing, thereby improving image quality for different signal types without requiring completely separate processing paths.
Solution Approach 2:
The patent changes processing parameters based on the detected signal characteristics. For NTSC-compliant signals, specific gamma correction parameters are applied, while non-compliant signals receive different parameter sets. This parameter adaptation enables the system to optimize image quality for each signal type while maintaining a unified processing architecture, resolving the contradiction between processing simplicity and image quality.
2Measurement precision
If detailed detection of white peak, black peak, and average brightness is performed, then image processing accuracy is improved, but hardware requirements increase and power consumption rises
Solution Approach 1:
The patent extracts and utilizes only the necessary signal characteristics for processing. Instead of comprehensively detecting all possible signal parameters (white peak, black peak, average brightness), the system focuses on detecting the fundamental signal type (NTSC compliance status). This selective extraction reduces the computational burden and hardware requirements while maintaining sufficient accuracy for effective image processing.
Solution Approach 2:
The patent uses pre-stored parameter sets as copies of optimal processing values. Rather than performing complex real-time detection and calculation, the system detects the signal type and selects from pre-computed parameter copies that correspond to different signal characteristics. This copying approach significantly reduces real-time processing requirements and power consumption while maintaining high processing accuracy.
3Adaptability or versatility
If multiple image signals are displayed simultaneously, then system versatility is improved, but satisfactory display images cannot be obtained from each signal type
Solution Approach 1:
The patent enables dynamic adaptation to different signal types within a multi-signal environment. The system continuously detects the signal characteristics of each displayed image and adjusts processing parameters in real-time. This allows simultaneous display of both NTSC-compliant and non-compliant signals with satisfactory quality, as each signal receives optimized processing tailored to its specific characteristics.
Data Source
AI summary
An image processing device is comprised of a parameter storing unit (i) storing a plurality of inverse gamma correction parameters, color conversion parameters, gamma correction parameters and the like, and (ii) selecting one parameter from each of a plurality of such parameters according to an inputted image signal. Further, the image processing device includes an image signal processing unit performing image signal processes such as inverse gamma correction, color conversion, gamma correction and the like, on the basis of the parameters selected by the parameter storing unit.