Display Contour Prediction and Adaptive Blurring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Display apparatuses face challenges in minimizing contours caused by color banding, especially after blurring processes, which can reduce user visibility and satisfaction.
Innovation Solution
A display apparatus that uses a contour prediction model to determine the likelihood of contour generation in an image. Based on this prediction, the apparatus performs either a first or second blurring process, where the second process involves contour interpolation and dimming to reduce color gray scale, thereby minimizing contours.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a blurring process is performed on the image to reduce sharpness and provide a soft effect, then the aesthetic quality is improved, but color banding and contours are generated that reduce user visibility
Solution Approach 1:
The system performs a preliminary blurring process on the image before displaying it, and then predicts whether contours will be generated in the blurred image. Based on this prediction, it selectively applies a second blurring process only to regions where contours are likely to occur, thereby preventing contour formation while maintaining the aesthetic softening effect in other areas.
Solution Approach 2:
The system applies different blurring intensities to different regions of the image. The first blurring process is applied globally to achieve aesthetic softening, while the second blurring process is selectively applied only to specific regions predicted to generate contours, creating local variations in blur intensity that prevent harmful contours while preserving overall aesthetic quality.
2Object-affected harmful factors
If a second blurring process with contour interpolation and dimming is applied to reduce contours, then contour visibility is reduced, but the processing complexity increases
Solution Approach 1:
The system uses a contour prediction model that analyzes the blurred image and provides feedback on which regions are likely to generate contours. This feedback mechanism allows the system to intelligently determine where to apply the second blurring process, avoiding unnecessary processing in regions that will not generate contours and thereby reducing overall processing complexity while still effectively preventing contour formation in problematic areas.
Data Source
AI summary
Provided are a display apparatus and an operating method of the same. The display apparatus includes: at least one memory storing one or more instructions; and at least one processor configured to execute the one or more instructions, wherein the one or more instructions, when executed by the at least one processor, cause the display apparatus to: obtain an input image, obtain a contour prediction result including information related to a prediction of whether a contour would be generated in an image output by the display apparatus based on the input image by inputting the input image to the contour prediction model, and based on the contour prediction result, perform at least one of a first blurring process or a second blurring process on the input image, wherein the first blurring process is different from the second blurring process.