Image Processing Apparatus Edge Line Region Correction
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Solution Overview
Problem
Existing image processing technologies face challenges in enhancing both resolution and sharpness without causing side-effects like artifacts or ringing, especially when up-scaling images for high-resolution displays from lower resolution inputs.
Innovation Solution
An image processing apparatus and method that includes an inputter, up-scaler, region sense unit, and image corrector to differentiate between edge and line regions within the image data, adjusting their widths and brightness values to enhance resolution and sharpness, with specific correction techniques for each type of region.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the width of the transient segment is reduced to compensate for resolution degradation during up-scaling, then resolution is improved, but sharpness degradation and side-effects such as shoot or ringing occur
Solution Approach 1:
The patent divides the image processing into distinct segments: edge region processing and line region processing. The edge region processing narrows the transient segment width to improve resolution, while the line region processing maintains brightness to preserve sharpness. This segmentation allows different correction strategies to be applied to different parts of the image, resolving the contradiction between resolution enhancement and sharpness preservation.
Solution Approach 2:
The patent applies different correction methods to different regions of the image based on their characteristics. For edge regions, it narrows the transient segment width; for line regions, it maintains brightness values. This local quality approach ensures that each region is processed optimally for its specific characteristics, improving overall resolution without causing sharpness degradation or artifacts in any particular area.
2Manufacturing precision
If conventional transient segment transformation is applied to enhance resolution, then up-scaling quality is improved, but artifacts such as shoot or ringing are introduced
Solution Approach 1:
The patent segments the image into edge regions and line regions, applying different processing strategies to each. This segmentation prevents the uniform application of transient segment transformation that causes artifacts, instead allowing targeted processing that enhances resolution while avoiding artifact generation in sensitive regions.
Solution Approach 2:
By applying different correction methods to different regions (narrowing for edges, maintaining brightness for lines), the patent ensures that artifact-prone areas are handled differently from areas where resolution enhancement is the primary concern. This local quality approach eliminates artifacts while maintaining resolution improvement.
Data Source
AI summary
An image processing apparatus which is capable of providing images with enhanced resolution and enhanced sharpness is provided. The image processing apparatus includes an inputter configured to receive an input of image data, an up-scaler configured to up-scale the inputted image data, a region sense unit configured to sense an edge region and a line region within the up-scaled image data by extracting brightness information of the up-scaled image data, an image corrector configured to correct the up-scaled image data in different correction methods for each of the edge region and the line region, and an outputter configured to output the corrected image data.