Brightness Control Interface with Endpoint Segmentation
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Solution Overview
Problem
Existing image editing systems for adjusting brightness and contrast are complex and time-consuming, requiring significant user skill, making them unsuitable for production environments where efficiency is crucial.
Innovation Solution
A user interface with controls that allow for precise adjustment of brightness and contrast by maintaining endpoints constant and applying settings to multiple images, minimizing dynamic range loss and enabling efficient editing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If complex editing programs are used to provide greater control over brightness and contrast adjustment, then user control is improved, but user skill requirement and time consumption increase significantly
Solution Approach 1:
The brightness adjustment range is segmented into two distinct control zones: a first control for adjusting brightness within a limited range that maintains endpoint values, and a second control for defining endpoint values. This segmentation allows users to make precise adjustments without the complexity of full-range brightness controls, resolving the contradiction by providing targeted control where needed while avoiding unnecessary complexity.
2Adaptability or versatility
If complex editing programs are used to provide greater control over brightness and contrast adjustment, then user control is improved, but time consumption increases
Solution Approach 1:
By segmenting the brightness control into two simple, focused controls rather than one complex control, the interface enables faster adjustments. Users can quickly modify brightness within the limited range using the first control without worrying about endpoint distortion, and only use the second control when endpoint adjustment is needed, significantly reducing editing time while maintaining control precision.
Solution Approach 2:
The invention extracts the endpoint definition function from the general brightness control and places it in a separate second control. This extraction allows the first control to focus solely on simple brightness adjustments within a limited range, making it faster and more intuitive to use for common editing tasks while the second control handles the specialized endpoint adjustment function.
3Ease of operation
If brightness is adjusted by adding or subtracting a value to all image values, then brightness adjustment is simplified, but distortion is created in image lowlights or highlights
Solution Approach 1:
The first control applies brightness adjustment with a local quality characteristic: it modifies brightness within a limited range while maintaining constant endpoint values. This creates a localized adjustment effect that preserves image quality at the endpoints (minimum and maximum values) while still allowing brightness modification in the intermediate range, avoiding the distortion problem of global brightness adjustment.
Solution Approach 2:
The system dynamically adapts the brightness adjustment behavior based on the control type: the first control provides dynamic brightness adjustment within a limited range that automatically maintains endpoint constants, while the second control provides dynamic endpoint redefinition. This dynamic behavior allows the system to maintain image precision at endpoints while enabling flexible brightness adjustment where needed.
Data Source
AI summary
An image editing user interface includes a first control adapted to alter an image property of an image in response to a user input and a second control adapted to operate in cooperation with the first control to alter the image property in response to a user input. The image property is brightness and the first control alters brightness over a range of image values between two endpoints and the second control defines at least one of the endpoints.