Object Contour Overlay for Low-Vision Display Visibility
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Solution Overview
Problem
Conventional display apparatuses for users with visual impairments lack personalized visibility enhancement methods that consider the user's impairment grade and the meaningful features of an image, instead providing uniform image processing such as high contrast or enlargement.
Innovation Solution
A display apparatus that processes images by identifying contours of meaningful objects, adjusting their thickness and color, and overlaying or blending these enhanced contours with the original image to improve visibility for users with visual impairments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If uniform image processing (high contrast, enlargement) is applied to improve visibility for users with visual impairments, then visibility is improved, but the meaningful features and details of the image are lost
Solution Approach 1:
The patent applies different processing qualities to different regions of the image. Meaningful objects are identified and processed with edge enhancement and contour detection, while other regions maintain original quality. This allows visibility improvement specifically where needed without uniformly degrading the entire image.
Solution Approach 2:
The image is segmented into meaningful objects and non-meaningful regions using object detection and contour analysis. This segmentation enables selective application of visibility enhancement techniques only to relevant portions, preserving important details while improving overall visibility.
2Adaptability or versatility
If conventional viewing assistive functions (high contrast mode, color inversion) are used, then viewing environment is improved, but the processing does not consider user's impairment grade or image features
Solution Approach 1:
The system dynamically adjusts image processing parameters based on detected impairment grade and image content. Rather than static processing modes, the system adapts contour thickness, edge enhancement strength, and processing regions in real-time according to user needs and image characteristics.
Solution Approach 2:
The patent changes multiple processing parameters simultaneously including contour thickness, edge detection sensitivity, contrast enhancement levels, and processing region selection based on impairment grade. This multi-parameter adaptation provides personalized viewing assistance without requiring complex manual configuration.
3Measurement precision
If edge images with adjusted thickness and color are overlaid on the original image, then meaningful objects become more distinguishable, but processing time and computational resources increase
Solution Approach 1:
The system applies edge detection and contour processing only to identified meaningful objects rather than the entire image. This partial action approach maintains high object distinguishability while significantly reducing computational load and processing time compared to full-image processing.
Solution Approach 2:
The patent introduces an intermediary processing stage that generates simplified contour representations of meaningful objects. These contour intermediaries are then overlaid on the original image, providing enhanced distinguishability without requiring direct manipulation of all image pixels, thus reducing processing time.
Data Source
AI summary
A display apparatus is disclosed. The display apparatus includes: a display; a memory storing at least one instruction; and one or more processors connected to the display and the memory to control the display apparatus, wherein the one or more processors are configured to: pre-process an image; obtain an edge image by identifying a contour corresponding to each of a plurality of objects included in the pre-processed image; perform image processing to adjust at least one of a thickness or a color of each of the plurality of contours included in the edge image; obtain an output image by overlaying or blending the edge image subjected to image processing on or with the pre-processed image; and display the output image through the display.