Visual Processing Apparatus Edge Region Side Effect Suppression
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Solution Overview
Problem
Visual processing techniques that enhance image quality by converting pixel values based on contrast with surrounding pixels often result in unnatural side effects, such as shadow-like borders, especially in flat regions near sharp edges.
Innovation Solution
A visual processing apparatus that extracts surrounding image information and generates an effect adjustment signal to vary the processing effect, distinguishing between edge and flat regions to minimize side effects by adjusting the processing strength accordingly, using a control signal generation portion to determine edge and flat regions and generate an effect adjustment signal that reduces processing impact in areas prone to side effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If visual processing is performed with strong effect to enhance image quality, then image contrast and visual quality are improved, but side effects such as shadow-like borders and halos occur in flat regions near edges
Solution Approach 1:
The patent applies different visual processing strengths to different regions of the image. Edge proximal regions receive weaker processing effect while flat regions receive stronger processing effect. This local differentiation is achieved by detecting edge positions and using that information to modulate the processing strength spatially, thereby maintaining image quality enhancement while suppressing side effects at edges.
Solution Approach 2:
The patent segments the image into edge proximal regions and flat regions based on edge detection. By dividing the image domain into these distinct regions, the system can apply region-specific processing parameters. The control signal generation portion creates separate processing paths for different regions, allowing independent optimization of processing strength for each region type.
2Object-generated harmful factors
If processing strength is reduced in flat regions near edges to suppress side effects, then halos and shadow-like borders are minimized, but the visual processing effect is weakened in those regions
Solution Approach 1:
The patent implements spatially varying processing strength where flat regions receive strong processing effect for quality enhancement while edge proximal regions receive weakened processing to suppress halos and shadow-like borders. This local quality differentiation is achieved through edge detection and subsequent modulation of processing parameters based on proximity to detected edges.
Solution Approach 2:
The patent dynamically adjusts processing strength based on the local image characteristics and position relative to edges. The control signal generation portion continuously monitors edge positions and modulates the processing effect in real-time, creating a dynamic processing system that adapts to different spatial locations and image content.
Data Source
AI summary
It is possible to inhibit side effects even when an image that has sharp edge regions has been input, using a spatial processing portion (10) outputting surrounding image information US from an input image signal, a control signal generation portion (40) outputting an effect adjustment signal MOD according to a degree of flatness of an edge proximal region, and an effect adjustment portion (20) outputting a synthesized signal MUS that is synthesized by changing a ratio of the image signal IS and the surrounding image information US according to the effect adjustment signal MOD. Further, the side effects are inhibited using a visual processing portion (30) visually processing the image signal IS based on the synthesized signal MUS and the image signal IS.