Image Processing Device with Adjustable Filter Coefficients
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Solution Overview
Problem
Existing image processing technologies lack flexibility in enhancing image edges and details, failing to meet various professional image evaluation standards such as MTF, over-sharpness, roughness, and SNR.
Innovation Solution
An image processing device and method that includes a pixel enhancing module, filtering modules with adjustable coefficients, and a contrast adjusting module, allowing independent adjustment of filter coefficients and contrast parameters to enhance edges and details, meeting multiple image evaluation standards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If image processing algorithms use fixed parameters for edge enhancement, then the processing is simple and fast, but the flexibility to meet various image evaluation standards (MTF, over-sharpness, roughness, SNR) is limited
Solution Approach 1:
The patent implements dynamic parameter adjustment by allowing filter coefficients (first and second filter coefficients) and contrast adjusting parameters to be modified independently based on different image evaluation standards. This enables the system to adapt to various requirements (MTF, over-sharpness, roughness, SNR) rather than using fixed parameters, directly resolving the contradiction between adaptability and complexity.
Solution Approach 2:
The patent changes the state of processing parameters from fixed to variable. By introducing independently adjustable filter coefficients and contrast parameters, the system can optimize image processing for different evaluation criteria. This parameter flexibility allows the same basic processing framework to meet multiple standards without requiring completely different algorithms for each standard.
2Manufacturing precision
If multiple filtering processes are applied to enhance edges and details, then image quality improves, but the processing time and computational load increase
Solution Approach 1:
The patent divides the image processing into distinct modular stages: first filtering process, second filtering process, and contrast adjustment. Each module performs a specific function with independently adjustable parameters. This segmentation allows for optimized processing where each stage can be tuned independently, maintaining high image quality while enabling efficient computation through modular design.
Solution Approach 2:
The patent applies filtering operations selectively with adjustable filter coefficients that can be optimized for specific evaluation standards. Rather than applying maximum processing in all cases, the system can use partial action (adjusting coefficient strength) to achieve sufficient image quality improvement without excessive processing time, particularly when certain evaluation standards require less aggressive filtering.
Data Source
AI summary
This invention discloses an image processing device and an image processing method. The image processing device includes a line buffer, a pixel enhancing module, a smoothing module, a noise reduction module and a contrast adjusting module. The line buffer stores a plurality of pixel values of an image. The pixel enhancing module performs an edge-enhancing operation on the image. The smoothing module filters the image to improve the image in terms of roughness. The noise reduction module filters the image to improve the image in terms of a signal-to-noise ratio. The contrast adjusting module checks whether a target pixel is on a thin edge to decide the method of adjusting the contrast of the image.