Image Scaling Control for Low-Vision Display Accessibility
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Solution Overview
Problem
Users with poor vision or visual impairments find it difficult to accurately perceive images displayed on electronic apparatuses due to their vision problems.
Innovation Solution
An electronic apparatus that includes a processor configured to identify and use different scalers for scaling input images based on attribute information, performing image quality processing to generate separate images for general users and those with low vision, enhancing visibility and accessibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single scaler is used to process all input images, then device complexity is reduced, but image quality for users with low vision deteriorates
Solution Approach 1:
The patent divides the image processing system into multiple scalers (first scaler for standard images, second scaler for low vision images) that process different types of input images differently. This segmentation allows each scaler to be optimized for its specific purpose, improving image quality for users with low vision while maintaining manageable device complexity through structured organization.
Solution Approach 2:
The patent applies different scaling qualities to different regions of the input image based on attribute information. The second scaler processes specific regions (such as regions containing text or important visual elements) with enhanced scaling quality specifically tailored for users with low vision, rather than uniformly processing the entire image.
2Manufacturing precision
If multiple scalers are used to process different input images, then image quality for users with low vision is improved, but device complexity increases
Solution Approach 1:
The processor performs preliminary analysis of attribute information of input images before selecting which scaler to use. This preliminary action allows the system to automatically determine the appropriate scaler based on image characteristics, reducing the need for complex manual configuration and making the multi-scaler system easier to manage.
Solution Approach 2:
The system automatically selects and applies the appropriate scaler based on the attribute information of each input image without requiring user intervention. The processor self-manages the complexity of having multiple scalers by autonomously determining which scaler to use for each image, simplifying the user experience while maintaining high image quality.
3Manufacturing precision
If image quality processing is performed on all input images, then visibility for users with low vision is improved, but processing time increases
Solution Approach 1:
Image quality processing is applied selectively to specific regions or portions of input images that are most critical for users with low vision, rather than processing the entire image uniformly. This localized approach improves visibility where it matters most while reducing overall processing time.
Solution Approach 2:
The system changes processing parameters based on the attribute information of input images. When an image is identified as suitable for the second scaler, enhanced quality processing parameters are applied; otherwise, standard processing parameters are used, optimizing the balance between image quality and processing time for each specific case.
Data Source
AI summary
An electronic apparatus and a controlling method thereof are provided. The electronic apparatus includes a memory, a display, and a processor to control the electronic apparatus. The processor is configured to obtain at least one input image. The processor is configured to identify a first scaler to scale a first input image and a second scaler to scale a second input image, the first input image and the second input image being obtained as the at least one input image and the first scaler and the second scaler being identified based on attribute information of the at least one input image. The processor is configured to output a first image in which the first input image is scaled using the first scaler and a second image in which the second input image, on which image quality processing has been performed, is scaled using the second scaler.