Image Processing Apparatus Boundary Detection Shadowing
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Solution Overview
Problem
Existing image processing technologies fail to accurately enhance details in images, particularly due to image compression and enlargement processes, leading to blurred textures and unclear boundaries, especially in low-resolution images being converted to high-resolution formats.
Innovation Solution
An image processing apparatus and method that detects boundaries in images using second-order differentiation filters, such as the Laplacian filter, to apply shadowing effects, thereby enhancing image details and clarity by differentiating between straight and complex edges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image compression and enlargement processes are applied to improve image resolution, then image detail enhancement is achieved, but boundaries become blurred and noise is amplified
Solution Approach 1:
The patent applies different processing strategies to different regions of the image based on local characteristics. Boundary regions are identified through gradient analysis and processed differently from non-boundary regions, applying shadowing effects specifically at boundaries to enhance sharpness without affecting other areas or amplifying noise throughout the entire image
2Manufacturing precision
If conventional sharpening techniques are applied to enhance image details, then boundary clarity is improved, but noise is amplified
Solution Approach 1:
The patent introduces shadowing effects that modify the intensity distribution at boundaries, creating dark regions adjacent to bright boundaries. This intensity variation enhances perceived sharpness through contrast enhancement rather than simple high-frequency amplification, thereby avoiding noise amplification while maintaining boundary clarity
Solution Approach 2:
The patent converts the harmful effect of blurred boundaries into a benefit by deliberately adding shadow regions that create artificial contrast. The shadowing effect transforms the lack of natural contrast in compressed images into an opportunity for enhanced boundary definition through controlled intensity modification
3Manufacturing precision
If shadowing is applied to enhance boundaries, then image sharpness is improved, but device complexity increases
Solution Approach 1:
The patent segments the image processing task into distinct stages: gradient calculation, boundary detection through thresholding, shadow region generation, and composite image formation. This segmentation allows each stage to be processed independently with optimized algorithms, reducing overall computational complexity compared to holistic sharpening approaches
Data Source
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AI summary
An image processing apparatus filters an image and obtains a signal in a threshold range as a shadow. The image processing apparatus obtains boundary information by applying boundary detection filters associated with different directions. The shadow is applied, based on the boundary information, to a portion of the input image to provide an output image with improved sharpness.