De-interlacing Pixel Value Adjustment via Interpolation Rules
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional de-interlacing methods fail to effectively improve image quality by not adequately adjusting pixel values based on the type of interpolation operation used, leading to suboptimal results in progressive scan techniques.
Innovation Solution
An image processing method and device that determines the degree of difference between fields and adjusts pixel values according to interpolation rules, distinguishing between intra-field and inter-field interpolation operations, and utilizing a post-processing circuit to validate and adjust pixel values based on these rules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional de-interlacing methods are used to generate pixel values, then the progressive scan can be implemented, but the image quality is not effectively improved due to lack of adjustment based on interpolation type
Solution Approach 1:
The patent segments the de-interlacing process by distinguishing between intra-field interpolation pixels and inter-field interpolation pixels using different interpolation rules. This segmentation allows targeted adjustment of pixel values based on their specific interpolation type, improving image quality without requiring complete reprocessing of all pixels
Solution Approach 2:
The patent applies local quality by adjusting pixel values differently based on their interpolation type. Intra-field interpolated pixels receive different adjustment treatment compared to inter-field interpolated pixels, optimizing image quality locally for each pixel type rather than applying uniform processing
2Measurement precision
If pixel values are adjusted according to interpolation rules, then the accuracy and clarity of de-interlaced images is improved, but the processing complexity increases
Solution Approach 1:
The patent records multiple interpolation rules in advance, corresponding to different pixel types (intra-field and inter-field interpolation). During processing, the system simply retrieves and applies the appropriate pre-defined rule, which improves pixel value accuracy without requiring complex real-time decision-making
Solution Approach 2:
The patent uses feedback by detecting the degree of difference among fields and using this information to determine which interpolation rule to apply. The post-processing circuit receives feedback about pixel characteristics and adjusts pixel values accordingly, improving accuracy through controlled feedback loops
Data Source
AI summary
An image processing method includes deinterlacing a video data to generate first, second, and third pixels; recording a plurality of interpolation rules corresponding to the first, second, and third pixels; and determining whether to adjust the pixel value of the second pixel according to at least one of the plurality of interpolation rules; wherein the interpolation rule of each pixel recording the pixel is generated by an intra-field interpolation or an inter-field interpolation.