Signal Processing Device for Intent-Driven Image Editing
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Solution Overview
Problem
Users face a time-consuming and cumbersome process when manually operating photo editing software like Photoshop, leading to poor user experience.
Innovation Solution
A signal processing device that collects user inputs such as voice, touch, or image signals to automatically convert them into image processing instructions, allowing for real-time editing and reducing manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually operate photo editing software like Photoshop, then precise image processing control is achieved, but the operation time and complexity increase significantly
Solution Approach 1:
The system enables self-service by automatically analyzing user intent from simple inputs (voice, text, or gestures) and executing the complete image processing workflow without requiring manual software operation. The device autonomously performs tasks such as selecting editing tools, applying filters, and adjusting parameters based on the analyzed intent, thereby resolving the contradiction between precise control and time consumption.
Solution Approach 2:
An intermediary system (the signal processing device) is introduced between the user and the photo editing software. This intermediary translates simple user signals into detailed processing instructions, maintaining precision while reducing the time and complexity burden on the user. The intermediary acts as a bridge that interprets user intent and converts it into actionable commands for the editing software.
2Measurement precision
If users manually input instructions to control image processing, then precise editing control is achieved, but the ease of operation deteriorates
Solution Approach 1:
The system allows users to simply provide intent through easy methods like voice commands or gestures, while the device automatically handles the complex task of translating this intent into precise editing operations. This self-service approach maintains editing precision while dramatically improving operational ease, as users no longer need to navigate complex software interfaces or learn specialized commands.
Solution Approach 2:
The patent replaces the mechanical interaction model (manual software operation requiring knowledge of tools and commands) with a signal-based interaction model. Users provide high-level intent signals rather than detailed operational commands, and the system automatically converts these signals into precise editing actions, thereby improving ease of operation while maintaining precision.
3Ease of operation
If automated signal conversion is implemented, then ease of operation and speed are improved, but the device complexity increases
Solution Approach 1:
The signal processing device is designed with multi-functionality to handle diverse input signals (voice, text, gestures) and translate them into various image processing operations. By creating a universal translation layer that can process multiple signal types and generate corresponding editing commands, the system improves ease of operation while managing complexity through a unified approach rather than separate systems for each signal type.
4Productivity
If real-time image processing is enabled, then productivity is improved, but the computational energy consumption increases
Solution Approach 1:
The system performs preliminary analysis of user intent from the input signal before executing the actual image processing operations. By pre-determining the required processing steps, tools, and parameters from the user's signal, the system can then execute the actual image editing more efficiently with optimized computational resources, thereby achieving real-time processing while managing energy consumption through proactive planning.
Data Source
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Figure 5B
AI summary
The present disclosure provides a signal processing device, which includes: a signal collector configured to obtain an image to be processed; a signal collector configured to collect an input signal; an instruction converter configured to convert the signal into an image processing instruction according to a target signal instruction conversion model; an image processor configured to edit the image to be processed according to the image processing instruction and a target image processing model to obtain a result image. Examples of the present disclosure may realize a function of inputting a signal to process images, which saves users' time spent in learning image processing software prior to image processing, and improves user experience.