Edge-Based Image Enhancement for Display Sub-Pixel Correction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Sub-pixel-based image display systems face color error bands due to drastic brightness differences between sub-pixels, leading to distortions in image intensity, particularly noticeable at pixel boundaries and exacerbated by larger pixel sizes.
Innovation Solution
A method that processes image signals by allocating weights based on the period of change in pixel values to correct sub-pixel values, specifically reducing the R and B components at edges to minimize color error bands, using a system comprising a signal reading module, edge detection module, period determination module, signal correction module, and display driving module.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If pixel size is increased to improve visibility, then image clarity is improved, but color error bands become more apparent due to drastic brightness differences between sub-pixels
Solution Approach 1:
The patent applies different correction strategies to different regions of the image based on local characteristics. Edge pixels receive different weight allocations than non-edge pixels, and different sub-pixels (R, G, B) receive different correction amounts based on their specific brightness differences. This localized approach allows the system to maintain large pixel sizes for visibility while correcting color errors only where they occur at edges.
Solution Approach 2:
The patent dynamically adjusts the weight parameters (α and β) based on the period of pixel value changes and the specific edge characteristics. By changing these parameters adaptively rather than using fixed values, the system can effectively reduce color error bands while preserving image clarity. The weight allocation is modified based on measured pixel brightness differences and edge detection results.
2Measurement precision
If sub-pixel values are corrected to reduce color error bands, then image accuracy is improved, but processing complexity increases due to edge detection and weight allocation calculations
Solution Approach 1:
The patent performs edge detection and determines correction weights in advance before applying the final pixel value corrections. By pre-calculating which pixels are edges and what weights to apply, the system streamlines the processing pipeline and avoids complex real-time calculations during display updates. This preliminary processing reduces the overall computational burden.
Solution Approach 2:
The correction process is divided into distinct segments: edge detection, period determination, weight allocation, and final correction application. Each segment handles a specific aspect of the problem independently, making the overall complex process more manageable and efficient. The segmentation allows parallel processing of different image regions and simplifies debugging and optimization.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A method, medium and system processing an image signal. The system includes an edge detection module to detect a pixel belonging to an edge in an input image, a period determination module to determine a period of change in pixel values based on a first value of the pixel belonging to the edge and a second value of a pixel that is adjacent to the pixel belonging to the edge, and a signal correction module to correct one or more sub-pixels of the pixel belonging to the edge using a weight allocated according to a result of the determination performed by the period determination module.