Judder Detection Apparatus for De-interlacing Blind Pattern Errors
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Solution Overview
Problem
Existing de-interlacing technologies often incorrectly detect judder in images due to blind patterns, leading to deteriorated image quality, as they fail to distinguish between judder and noise or blind patterns, resulting in inappropriate interpolation methods.
Innovation Solution
A judder detection apparatus that includes a judder detector to identify patterns similar to judder using pixel values from even and odd fields, a pattern detector to identify uniform pixel values and blind patterns, and a determiner to accurately determine if the detected pattern is actual judder, thereby preventing erroneous detection and improving image quality by selecting appropriate interpolation methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If temporal interpolation is used to improve image quality, then image quality deteriorates when judder is incorrectly detected due to blind patterns
Solution Approach 1:
The patent divides the detection process into separate modules: a blind pattern detector that identifies uniform pixel regions, and a judder detector that analyzes motion patterns. By segmenting the detection functions, the system can distinguish between blind patterns and actual judder, preventing false detections and maintaining image quality through appropriate interpolation method selection.
Solution Approach 2:
The patent introduces an intermediary analysis step that examines the characteristics of detected patterns before triggering judder correction. This intermediary layer analyzes whether detected patterns match blind pattern characteristics (uniform pixel values in specific regions) before applying temporal interpolation, thereby preventing false corrections and maintaining image quality.
2Reliability
If temporal interpolation is applied to correct judder, then image quality deteriorates when blind patterns are present
Solution Approach 1:
The patent applies preliminary anti-action by detecting blind patterns before judder correction is applied. The system proactively identifies regions with uniform pixel values that could be misinterpreted as judder, and prevents the harmful temporal interpolation from being applied to these regions, thereby avoiding image quality deterioration.
Solution Approach 2:
The patent converts the potentially harmful effect of blind patterns into a beneficial detection opportunity. By analyzing the characteristic uniform pixel values in blind patterns, the system uses these patterns as identifiable markers to prevent false judder detection, thereby protecting image quality while maintaining effective judder correction in genuine cases.
3Object-affected harmful factors
If spatial interpolation is used instead of temporal interpolation, then image quality is maintained but judder correction is ineffective
Solution Approach 1:
The patent implements a dynamic interpolation selection mechanism that adapts the interpolation method based on real-time detection results. When genuine judder is detected (after blind pattern exclusion), temporal interpolation is applied for effective correction. When blind patterns are present, spatial interpolation is used to maintain image quality. This dynamic adaptation resolves the contradiction between correction effectiveness and quality preservation.
Data Source
AI summary
A judder detection apparatus, a de-interlacing apparatus using the judder detection apparatus, and a de-interlacing method. The judder detection apparatus includes a judder detector to detect whether a detected pattern that is similar to a judder pattern occurs using predetermined pixel values of even and odd fields sequentially input, a pattern detector to detect whether an input image has a uniform pixel value in every other line of the even and odd fields and whether consecutive lines of the even and odd fields have a blind pattern having a difference from the uniform pixel that is greater than or equal to a threshold value, and a determiner to determine whether the detected pattern that is similar to the judder pattern is a judder based on whether the blind pattern is detected.