Adaptive Sharpness Correction Using Edge Analysis to Reduce Noise
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Solution Overview
Problem
Conventional sharpness enhancing methods for image display devices apply uniform enhancement across images, leading to noise generation due to varying image characteristics, as they do not consider specific characteristics at different positions within an image.
Innovation Solution
A sharpness enhancing apparatus and method that includes an edge analyzing unit to determine edge states and a sharpness correcting unit to calculate a sharpness correction amount using a mask operation, which adjusts the sharpness based on edge states and brightness signals, ensuring optimized definition by differentiating enhancement degrees according to image characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If uniform sharpness enhancement is applied to the whole image, then processing simplicity is maintained, but noise is generated due to varying image characteristics
Solution Approach 1:
The patent applies different sharpness enhancement degrees to different regions of the image based on local characteristics. The edge analyzing unit identifies edge states in specific areas, and the sharpness correcting unit adjusts enhancement parameters accordingly, making each region receive appropriate processing intensity rather than uniform enhancement.
Solution Approach 2:
The patent divides the image processing into multiple stages: edge analysis in a first specific area, determination of edge state, selection of enhancement parameters based on edge state, and application to a second specific area. This segmented approach allows different processing strategies for different image regions.
2Manufacturing precision
If different enhancement degrees are applied according to image characteristics, then sharpness is optimized, but processing complexity increases
Solution Approach 1:
The patent performs edge analysis and determines edge states in a first specific area before applying sharpness enhancement to the second specific area. This preliminary analysis allows the system to pre-determine appropriate enhancement parameters based on actual image characteristics, optimizing sharpness while managing complexity through staged processing.
Solution Approach 2:
The edge analyzing unit and edge state determination act as intermediaries between the raw image data and the sharpness enhancement process. This intermediary step analyzes image characteristics and translates them into appropriate enhancement parameters, bridging the gap between simple processing and optimized results.
3Productivity
If sharpness enhancement is applied without considering image characteristics, then processing speed is maintained, but image quality deteriorates
Solution Approach 1:
The patent changes processing parameters based on image characteristics. The edge state determination leads to selection of different enhancement parameters (such as enhancement degree and mask type) according to the analyzed edge characteristics, allowing adaptive optimization without significantly impacting processing speed through efficient parameter selection.
Data Source
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AI summary
A sharpness enhancing apparatus include: an edge analyzing unit configured to receive image data separated into brightness signals and color signals, and analyze an edge state by using brightness signals and color signals of cells contained in a specific area; and a sharpness correcting unit configured to calculate a sharpness correction amount by performing a mask operation on a sharpen mask, which is set according to the edge state, and the brightness signals of the cells, sum the calculated sharpness correction amount and the brightness signals of the cells, and correct sharpness of the brightness signals of the cells.