Video Display Contour Correction via Histogram Analysis
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Solution Overview
Problem
Existing video display apparatuses face challenges in achieving proper contour correction for different types of images, as they often apply the same correction to pictures with varying contour component levels and numbers, leading to suboptimal display quality.
Innovation Solution
A video display apparatus that controls contour component levels based on the frequencies of occurrence of contour components within predetermined level ranges, using a histogram to accurately grasp the conditions of contour components and apply appropriate corrections, comprising a filter circuit, level change circuit, adder, detection circuit, and control circuit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If contour components are cumulated over a predetermined period to determine correction levels, then the correction process is simplified, but the accuracy of contour correction deteriorates because the same cumulative value is calculated for different picture types
Solution Approach 1:
The patent segments the contour component analysis by dividing the screen into multiple regions and calculating contour component statistics separately for each region. This allows different correction levels to be applied to different regions based on their specific characteristics, resolving the contradiction between simplified processing and accurate correction.
Solution Approach 2:
The patent implements local quality by applying different contour correction levels to different screen regions based on their individual contour component characteristics. Each region is analyzed independently and receives customized correction, ensuring high accuracy while maintaining manageable complexity through localized processing.
2Productivity
If the same contour correction is applied to all pictures, then the processing is efficient and simple, but the display quality deteriorates for pictures with different contour component conditions
Solution Approach 1:
The patent implements dynamic contour correction by continuously analyzing contour component characteristics in each screen region and adjusting correction levels in real-time. This dynamic adaptation maintains high processing efficiency through automated analysis while achieving high display quality through customized correction for each region's specific conditions.
Solution Approach 2:
The patent changes correction parameters based on detected contour component characteristics in each region. By adjusting correction strength and thresholds according to local picture conditions, the system maintains processing efficiency through parameter-based control while achieving high display quality through adaptive correction levels.
3Measurement precision
If contour components are analyzed in detail for each picture condition, then the accuracy of contour correction is improved, but the processing complexity increases
Solution Approach 1:
The patent reduces processing complexity by segmenting the screen into regions and analyzing contour components independently in each region. This segmentation allows detailed local analysis without requiring complex global processing, achieving high accuracy while maintaining manageable complexity through divided computation.
Solution Approach 2:
The patent applies partial action by focusing detailed analysis only on regions where contour components are present or significant. By concentrating processing resources on relevant regions rather than uniformly processing the entire screen, the system achieves high accuracy where needed while minimizing overall processing complexity.
Data Source
AI summary
A picture quality correction circuit is provided which performs contour correction by grasping features of an input video signal accurately. The correction circuit has a filter circuit for extracting contour components in an inputted video signal, a contour component nonlinear processor for changing amplitudes of the contour components extracted by the filter circuit, an adder for adding outputs of the contour component nonlinear processor and the input video signal, a histogram detection circuit for detecting a histogram of the contour components extracted by the filter circuit, and a control circuit for controlling contour emphasis quantities for the contour component nonlinear processor in accordance with the results of detection by the histogram detection circuit.