Line-Pattern Detection for Image Interpolation Quality
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Solution Overview
Problem
Conventional image processing techniques select interpolation methods based solely on edge or motion detection, leading to potential defects and unstable image quality, especially in dynamic image displays.
Innovation Solution
A method and apparatus that examine the changes in multiple pixel lines to determine image patterns, allowing for selective image processing operations, such as interpolation, to improve image quality by identifying patterns like smooth, edge, or mess patterns, thereby optimizing interpolation methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If interpolation method is selected based solely on edge detection or motion detection results, then the selection process is simple and fast, but interpolation defects occur and image quality becomes unstable
Solution Approach 1:
The patent segments the image into multiple pixel lines and analyzes each line's pattern independently. By dividing the image processing into line-based segments with distinct pattern characteristics (smooth, edge, mess patterns), the system can apply different interpolation strategies to different segments, improving both accuracy and stability without sacrificing processing efficiency
Solution Approach 2:
The patent applies local quality analysis by examining pattern characteristics specifically within local pixel line regions rather than treating the entire image uniformly. By detecting patterns like smooth regions, edge regions, and mess regions in local areas, the system selects interpolation methods tailored to each local region's characteristics, preventing interpolation defects while maintaining stable image quality across the entire image
2Device complexity
If conventional edge detection or motion detection is used for pattern selection, then the detection process is straightforward, but interpolation defects are generated resulting in worse image quality
Solution Approach 1:
The patent transitions from conventional 2D edge/motion detection to a 1D line-based pattern detection approach. By examining pixel variations along pixel lines and calculating gradient magnitudes in the vertical direction, the system detects patterns in a different dimensional context, achieving more accurate pattern recognition that prevents interpolation defects while maintaining reasonable detection complexity
Solution Approach 2:
The patent changes the detection parameters from edge/motion detection metrics to pixel value variation analysis along pixel lines. By calculating gradient magnitudes and examining pixel differences within and between pixel lines, the system identifies pattern characteristics (smooth, edge, mess patterns) with higher precision, enabling accurate interpolation method selection that eliminates interpolation defects
Data Source
AI summary
The present invention discloses an image processing apparatus for processing an image. The image processing apparatus includes a line-pattern detecting module and an image processing module. The line-pattern detecting module examines how a first plurality of pixels of a first pixel line change and how a second plurality of pixels of a second pixel line change so as to determine which pattern an area of the image corresponds to. The image processing module selectively performs at least one of a plurality of image processing operations according to the pattern the image area corresponds to. The first and the second pixel lines correspond to the image area.