Image Processing Circuit Edge Sharpness Control
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Solution Overview
Problem
Conventional image enlargement methods result in poor sharpness at object edges due to significant luminance changes and inflexible edge width adjustment, leading to defects such as thick shadows and uneven luminance.
Innovation Solution
An image processing circuit comprising a receiving circuit, a reference value calculating circuit, and an output circuit that determines and adjusts reference values for edge pixels, calculates a center luminance value, and generates output luminance values to improve image sharpness by using cumulative luminance increments and decrements, with optional adjustments to prevent shadow formation and allow flexible edge width control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Volume of moving object
If conventional image enlargement methods are used, then image size is increased, but sharpness at object edges deteriorates due to significant luminance changes
Solution Approach 1:
The patent calculates cumulative luminance increments and decrements before generating final pixel values. By pre-calculating these cumulative values for each pixel position, the method prepares the necessary data to control luminance changes, ensuring that when pixels are generated, the luminance transitions are precisely controlled rather than allowing significant uncontrolled changes that would degrade sharpness.
Solution Approach 2:
The patent dynamically adjusts the number of pixels allocated to different regions based on local luminance characteristics. By calculating cumulative luminance changes and using these to determine pixel distribution, the method adapts the pixel density to the local image content, placing more pixels where luminance changes occur to maintain sharpness while allowing fewer pixels in uniform regions.
2Manufacturing precision
If existing algorithms use luminance at two sides to replace pixel luminance in edge areas, then sharpness is improved, but edge width cannot be arbitrarily adjusted
Solution Approach 1:
The patent makes the edge width adjustable by allowing dynamic control over the number of pixels allocated to different luminance regions. The cumulative luminance increment/decrement calculations enable flexible determination of how many pixels should represent each luminance level, making the edge width a可调 parameter rather than a fixed value determined solely by neighboring pixel luminance.
Solution Approach 2:
The patent changes the approach from directly copying neighboring luminance values to using cumulative luminance increments and decrements as intermediate parameters. This parameter transformation allows for arbitrary adjustment of edge characteristics by modifying how the cumulative values are calculated and applied, enabling flexible control over edge width and luminance transition characteristics.
3Manufacturing precision
If existing algorithms replace pixel luminance with side luminance values, then sharpness is enhanced, but original luminance changes significantly leading to unnatural appearance
Solution Approach 1:
The patent applies partial action by selectively enhancing sharpness only in regions where luminance changes occur (edge areas) while preserving the original luminance values in uniform regions. The cumulative luminance increment/decrement method allows the algorithm to identify edge regions and apply pixel replacement only there, rather than uniformly across the entire image, thus maintaining natural appearance in non-edge areas while improving sharpness where needed.
Data Source
AI summary
The present invention provides an image processing circuit including a receiving circuit, a reference value calculating circuit, a center luminance value calculating circuit and an output circuit. In the operations of the image processing circuit, the receiving circuit receives image data. The reference value calculating circuit determines a first reference value and a second reference value corresponding to a plurality of pixels of the image data. The center luminance value calculating circuit refers to the first reference value and the second reference value to generate a center luminance value. The output circuit determines output luminance values of the plurality of pixel values according to the image data, the first reference value and the second reference value.