Dynamic Border Frame Color Picker for Digital Images
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Solution Overview
Problem
Current digital camera technologies are limited in their ability to select border frame colors, as they often restrict users to a fixed set of colors or automatically choose from a limited color palette, leading to unnecessary analysis of inappropriate color selections for grayscale images.
Innovation Solution
The implementation of a border frame color picker engine that evaluates pixel colors within an image to determine a border frame color based on the position of a selector, allowing for selection from a dynamic color set, including non-grayscale, grayscale, or sepia colors, and providing users with fine-tuning options.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed color palette is used for border frame selection, then the device complexity is reduced, but the adaptability to different image types (color vs. grayscale) deteriorates
Solution Approach 1:
The color palette dynamically changes based on the detected image type. The system automatically detects whether an image is grayscale or color and switches between a grayscale color set and a non-grayscale color set, making the border frame color selection adaptable to different image types without requiring manual user configuration.
Solution Approach 2:
The system changes the parameter of available color options based on the image type parameter. When the image is detected as grayscale, the system restricts the color palette to grayscale colors only; when the image is color, it enables the full color palette, thus optimizing the adaptability through parameter changes.
2Adaptability or versatility
If a full color palette is provided for all images, then the versatility of color selection is improved, but unnecessary color options are analyzed for grayscale images increasing processing time
Solution Approach 1:
The system extracts and removes inappropriate color options from the palette based on the image type. For grayscale images, non-grayscale colors are extracted and removed from the available options, leaving only grayscale colors. This eliminates unnecessary color analysis and reduces processing time while maintaining full color palette versatility for color images.
Solution Approach 2:
Instead of providing the full color palette for all images (excessive action), the system provides only the necessary subset of colors appropriate for the specific image type (partial action). This optimization reduces unnecessary processing while maintaining adequate versatility for each image type.
3Ease of operation
If automatic border color selection is implemented, then the ease of operation is improved, but the user control over color selection is reduced
Solution Approach 1:
The border frame color picker engine provides multiple functions: it can automatically select border colors based on image analysis, manually select from a dynamically adjusted palette, and allow user input for custom colors. This multi-functionality ensures both ease of operation through automation and user control flexibility through manual options.
Solution Approach 2:
The system provides feedback by displaying the selected border color in real-time on the user interface, allowing users to see how the border color appears with their selected image. This feedback mechanism enables users to make informed selections while maintaining ease of operation.
Data Source
AI summary
An embodiment of the invention provides an apparatus and method of selecting a color for a border frame. The apparatus and method permit a selector to be placed on an object image and select a color for the border frame, based on a location of the selector on the object image.