Edge Subpixel Brightness Attenuation for Zigzag Elimination
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Solution Overview
Problem
Display panels with delta subpixel arrangements suffer from zigzag edges, which are corrected by existing methods but result in blurring, compromising image quality.
Innovation Solution
A device and method for processing image data that includes edge detection using algorithms like Sobel or RobertsCross, comparing brightness, and attenuating edge subpixel points with preset coefficients to adjust brightness, ensuring sharp edges without blurring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If a Low Pass Filter (LPF) is used to adjust brightnesses in a whole image or in large scale, then zigzag edges are eliminated, but blurring occurs at edges where no zigzag occurs, resulting in deterioration of image quality
Solution Approach 1:
The patent applies local quality by performing edge detection to identify specific edge subpixel points and applying brightness attenuation only to those identified points, rather than uniformly processing the entire image. This localized approach eliminates zigzag edges at problem areas while preserving sharpness in regions without zigzag artifacts.
Solution Approach 2:
The patent segments the image processing into distinct steps: edge detection to identify edge subpixel points, brightness comparison to determine which points need attenuation, and selective attenuation application. This segmentation allows precise control over where brightness adjustment is applied, avoiding unnecessary blurring in non-problem areas.
2Manufacturing precision
If brightnesses of edge subpixel points are attenuated using preset coefficients, then sharpness at image edges is maintained, but complexity of the processing device increases
Solution Approach 1:
The patent uses parameter changes by applying different preset attenuation coefficients to different edge subpixel points based on their specific characteristics. This allows fine-tuned control over brightness adjustment at each edge point, maintaining sharpness while managing processing complexity through systematic parameter selection rather than complex algorithms.
Data Source
AI summary
The present disclosure relates to a method and device for processing image data and a display device including the device for processing image data. The device for processing image data includes: an edge detector for receiving image data to be displayed, and performing edge detection on the image data to identify edge subpixel points; a brightness comparator for comparing brightnesses of the identified edge subpixel points with a preset brightness; a brightness attenuator for attenuating brightnesses of edge subpixel points which have a brightness greater than the preset brightness to obtain image data to be transmitted; and a data transmitter for transmitting the image data to a source driver. The present disclosure can effectively eliminate zigzag edges, and meanwhile guarantee the sharpness at edges of an image.