Image Editing Tools With Automatic Tonal Detection
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Solution Overview
Problem
Existing image editing tools require advanced knowledge of color theory and tonal ranges, disrupt creative flow with separate controls, and lack real-time feedback, making them inefficient and inaccessible to beginners.
Innovation Solution
A system with direct on-image color grading that includes automatic tonal range detection and integrated on-screen color wheels, allowing users to make adjustments directly on the image, seamlessly integrating with RGB curves for precise control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional color grading tools are used, then precise color control is achieved, but the interface complexity increases and usability decreases
Solution Approach 1:
The patent combines color wheel controls directly with RGB curve controls into a unified interface. The color wheel is overlaid on the RGB curve graph, allowing users to adjust both hue/saturation and curve parameters simultaneously through a single interaction, eliminating the need to switch between separate controls while maintaining precise color control
Solution Approach 2:
The integrated control interface serves multiple functions: the color wheel provides hue and saturation adjustment, the RGB curve graph provides tonal range control, and their combination enables comprehensive color grading operations. This multi-functional interface reduces the number of separate tools needed while maintaining full color control capability
2Measurement precision
If separate controls are used for color adjustments, then precise control is achieved, but creative flow is disrupted
Solution Approach 1:
By overlaying the color wheel on the RGB curve graph, the patent merges two previously separate control operations into a single integrated interface. Users can adjust color and curve parameters simultaneously without switching between different control panels, maintaining precise control while eliminating interruptions to creative flow
3Measurement precision
If manual curve manipulation is required, then precise color grading is achieved, but the learning curve increases
Solution Approach 1:
The patent introduces an intermediary visual guide system that includes color wheel overlays and RGB curve annotations. These visual elements serve as mediators between the user's intuitive color selection and the underlying complex curve manipulation, providing real-time visual feedback and guidance that simplifies the learning process while maintaining precision
4Ease of operation
If on-image HSL adjustments are used, then intuitive interaction is improved, but tonal range control is lost
Solution Approach 1:
The patent merges on-image HSL adjustment capabilities with RGB curve control by overlaying the color wheel on the curve graph. This allows users to maintain intuitive on-image interaction for hue and saturation adjustment while simultaneously retaining precise control over tonal ranges through the integrated curve manipulation interface
Data Source
AI summary
A non-transitory computer-readable medium storing instructions which, when executed by a processing device of a computing device, causes the computing device to perform a method for facilitating editing of images using image editing tools. Further, the method may include displaying of at least one image, obtaining at least one information, identifying two or more areas of the image, determining a tonal range for each of the two or more areas, determining a value for an attribute associated with each of two or more image elements of the image, generating a graphical representation of the image, displaying at least one adjustment tool, obtaining a selection of a setting from a plurality of settings associated with the at least one adjustment tool, performing at least one operation on the at least one image based on the selection, generating at least one edited image, and displaying the at least one edited image.


