Transparent Display Image Processing for Viewing Distance Adaptation
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Solution Overview
Problem
Transparent display apparatuses and other display devices face issues with image sharpness degradation at varying viewing distances, leading to suboptimal user perceptual quality, as pixels are recognized differently at proximity and long distances.
Innovation Solution
An image processing method and circuit that adjusts sharpness by applying blurring or sharpening filters based on the viewing distance, converting three-color data to four-color data, and dividing image data into transmissive and non-transmissive regions for targeted processing to maintain optimal image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If transparent display apparatus is used at proximity distance for touch interaction, then ease of operation is improved, but pixels are recognized and image sharpness is degraded
Solution Approach 1:
The patent applies dynamic image processing that adapts to viewing distance. A sensor detects the user's distance from the display, and the system dynamically adjusts image characteristics: applying blurring processing when the user is close (to reduce pixel recognition) and sharpening processing when the user is far (to maintain sharpness). This dynamic adaptation resolves the contradiction between close-distance operability and image quality.
2Adaptability or versatility
If transparent display apparatus is used at long distance for viewing, then viewing distance freedom is improved, but image sharpness is degraded
Solution Approach 1:
The system dynamically adjusts image processing based on detected viewing distance. When the sensor detects that the user is at a long distance, the system applies sharpening processing to enhance edge portions of the image, compensating for the natural sharpness degradation that occurs at distance. This maintains image quality across varying viewing distances.
Solution Approach 2:
The patent changes image processing parameters based on viewing distance. The system modifies contrast, sharpness, and edge enhancement parameters dynamically: increasing sharpness and edge contrast for distant viewing, and reducing these parameters for close viewing. This parameter adaptation resolves the sharpness degradation issue at long distances.
3Manufacturing precision
If blurring processing is applied to reduce pixel recognition at short distance, then image sharpness is improved for close viewing, but processing complexity increases
Solution Approach 1:
The patent applies local quality processing by selectively applying blurring or sharpening to different regions of the image based on content analysis. Edge detection algorithms identify important image features, and processing is applied locally to enhance or soften specific areas rather than the entire image. This reduces unnecessary processing complexity while maintaining image quality.
4Manufacturing precision
If sharpening processing is applied to enhance sharpness at long distance, then image sharpness is improved, but processing complexity increases
Solution Approach 1:
The system applies local quality enhancement by using edge detection to identify only the portions of the image that require sharpening. Rather than processing the entire image, the algorithm selectively enhances edge portions and high-contrast areas, leaving smooth regions unchanged. This significantly reduces processing complexity while maintaining sharpness enhancement effectiveness.
Data Source
AI summary
An image processing method, an image processing circuit, and a display apparatus using the same are discussed. The image processing method can include sensing a viewing distance of a user and determining a predetermined viewing distance mode, upon determining that the viewing distance corresponds to a short distance mode, performing blurring processing on four-color data of each pixel of an input image for each color channel by applying a predetermined blurring mask to reduce data of an edge portion of the input image and to output the image, and upon determining that the viewing distance corresponds to a long distance mode, performing sharpening processing on white data of four-color data of each pixel of the input image by applying a predetermined sharpness mask to increase the white data of the edge portion of the input image and to output the image.