Edge Overlay Image Enhancement Without Artifacts
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Solution Overview
Problem
Current image sharpening techniques, such as Pan Sharpening, introduce artifacts into enhanced images, confusing them with actual data and failing to preserve the original image integrity while overlaying enhancing data.
Innovation Solution
An automated method that extracts edge points from a high-resolution image and overlays them onto a low-resolution image without modifying the original, using image registration and edge detection algorithms to enhance image sharpness without introducing artifacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If Pan Sharpening techniques are used to enhance image resolution, then image sharpness is improved, but artifacts are introduced into the enhanced image
Solution Approach 1:
The patent segments the enhancement process into two independent components: the original low-resolution image data and the edge information from the high-resolution image. By separating these components and combining them through overlay rather than mathematical fusion, the patent avoids the artifact generation inherent in traditional Pan Sharpening while preserving the sharpness benefits of edge information.
Solution Approach 2:
The patent introduces an intermediary edge map as a mediator between the low-resolution image and the high-resolution image. This edge map contains only the structural information (edges) from the high-resolution image, which is then overlaid on the low-resolution image. This intermediary approach allows transfer of sharpness without transferring the full complexity that causes artifacts.
2Measurement precision
If image sharpening techniques modify pixel values to enhance sharpness, then image quality is improved, but the original image data is altered and lost
Solution Approach 1:
The patent performs preliminary extraction of edge information from the high-resolution image before combining it with the low-resolution image. By pre-processing the high-resolution image to extract only essential edge data, the patent enables enhancement without requiring modification of the original low-resolution image data, thus preserving the original information while achieving quality improvement.
Solution Approach 2:
The patent creates a copy of the edge information from the high-resolution image and overlays it on the low-resolution image rather than directly modifying the original image data. This copying approach allows the original image to remain intact and unmodified while still benefiting from the enhanced edge information in the composite result.
3Measurement precision
If traditional sharpening methods are used, then image detail is enhanced, but alignment accuracy between images becomes critical and difficult to maintain
Solution Approach 1:
The patent extracts only the essential edge information from the high-resolution image, removing unnecessary pixel data and complexity. This extraction process simplifies the alignment requirements because edge points are discrete, easily identifiable features that are more tolerant of minor misalignments compared to full pixel-based methods. The extracted edge map can be overlaid without requiring perfect pixel-to-pixel correspondence.
Data Source
AI summary
The system relates to a method for enhancing an image by extracting edge points from a corresponding image and overlaying the edge points on the image to be enhanced. In one aspect of the method, the first image is of a lower resolution than the second image. The method also contemplates enhancing an image taken with a first modality with a second image taken with another modality.