Image Processing Apparatus Dynamic Luminance Adjustment
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Solution Overview
Problem
Existing image display apparatuses face challenges in clearly distinguishing dark areas from bright areas due to uniform luminance adjustments, which lead to unclear boundaries between objects and backgrounds, especially when there are significant luminance differences between image frames.
Innovation Solution
An image processing apparatus that dynamically adjusts the output level of pixels based on the average luminance value of image frames, using a controller to calculate and set criteria for pixel output levels, incorporating RGB data conversion to HSV and logarithmic adjustments to enhance visibility without requiring separate user input for each frame.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If the luminance of the entire screen is increased or gamma value is reduced to brighten dark areas, then the visibility of dark areas is improved, but the luminance of bright areas increases excessively causing boundaries to become unclear
Solution Approach 1:
The patent applies local quality by dividing the screen into multiple regions and applying different luminance adjustment parameters to each region. The controller calculates average luminance values for different regions separately and determines region-specific output levels, allowing dark areas to be brightened without excessively increasing luminance in already bright areas, thus maintaining boundary clarity while improving visibility of dark regions.
Solution Approach 2:
The patent segments the image processing into multiple steps: dividing the screen into regions, calculating average luminance for each region, determining output levels per region, and applying region-specific adjustments. This segmentation allows differential treatment of dark and bright areas, resolving the contradiction between brightening dark areas and maintaining overall boundary clarity.
2Illumination intensity
If users adjust luminance settings separately for each image type, then the visibility is optimized for specific images, but the operation becomes inconvenient and impractical for dynamic content like games
Solution Approach 1:
The patent implements self-service by enabling the controller to automatically calculate average luminance values, determine appropriate output levels, and adjust pixel output levels without requiring user intervention. The system adapts to different image types and luminance conditions dynamically, making manual adjustment unnecessary while maintaining optimized visibility for various content types including fast-changing images like games.
Solution Approach 2:
The patent applies dynamics by enabling real-time, frame-by-frame luminance analysis and automatic adjustment. The controller continuously monitors image luminance characteristics and dynamically modifies output levels accordingly, allowing the system to adapt to changing image content without user input, thus optimizing visibility for both static and dynamic content.
3Device complexity
If uniform luminance adjustment is applied to the entire screen, then the adjustment process is simple, but dark areas remain indistinguishable from bright areas due to unchanged relative luminance differences
Solution Approach 1:
The patent resolves this contradiction by applying local quality through region-specific luminance adjustments. Instead of uniform screen-wide adjustment, the controller divides the display into multiple regions, calculates average luminance for each region, and applies differentiated output level adjustments. This approach maintains relative luminance differences within each region, making dark areas distinguishable while managing complexity through automated regional processing.
Data Source
AI summary
The present disclosure relates to an image processing apparatus. The image processing apparatus according to an embodiment of the present disclosure includes a display having a plurality of pixels, and a controller, wherein the controller: calculates an average luminance value of a first frame of an image based on RGB data corresponding to the image; sets a criterion for determining an output level of the plurality of pixels according to the average luminance value of the first frame; controls the display to output a first frame group, including the first frame, according to the set criterion; calculates an average luminance value of a second frame of the image according to a predetermined cycle; resets a criterion for determining the output level of the plurality of pixels according to the average luminance value of the second frame; and controls the display to output a second frame group, including the second frame, according to the reset criterion. Accordingly, by dynamically changing the criteria for determining the output level of the plurality of pixels included in the display based on the luminance value of each frame of the image, the image may be displayed more clearly. Various other embodiments are possible.