Image Correction Rule Setting Based on Supplementary Metadata
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Solution Overview
Problem
Existing image processing technologies do not allow for appropriate and timely image correction, particularly at the moment of image input or sharing, which can lead to suboptimal image quality and user experience.
Innovation Solution
An image processing apparatus that includes an image input receiving unit, a correction rule setting unit, and a correction suggestion unit, which sets and suggests correction rules based on supplementary information such as tag information assigned to the input image, allowing for automatic or manual correction mode selection and user permission for image processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If image correction is performed based on accumulated correction information from multiple users, then image quality can be improved according to user preferences, but the processing time and complexity increase
Solution Approach 1:
The system performs image correction in advance at the time of image input or upload, rather than waiting for user requests. Correction rules are established beforehand based on supplementary information (tags, metadata) associated with the image, enabling automatic correction without requiring real-time user interaction or extensive processing later.
Solution Approach 2:
The image correction system operates autonomously by automatically analyzing supplementary information of input images and applying appropriate correction rules without requiring manual user input. The system serves itself by detecting image features and autonomously selecting and applying corrections based on accumulated correction information from multiple users.
2Productivity
If correction rules are automatically applied based on image supplementary information, then processing efficiency is improved, but user control and permission management become more complex
Solution Approach 1:
The system applies correction rules partially by first suggesting corrections to users before final application. Not all corrections are applied automatically - the system provides suggestion options to users, allowing them to review and approve corrections. This partial automation balances efficiency with user control.
Solution Approach 2:
The system incorporates user feedback loops where correction suggestions are presented to users for approval. Users can provide feedback on suggested corrections, and this feedback is used to refine future correction recommendations. The system monitors user responses and adjusts its correction suggestions accordingly, creating a feedback-driven improvement cycle.
Data Source
AI summary
Provided are an image processing apparatus in which it is possible to appropriately correct an image at a more appropriate timing, an image processing method, a program causing a computer to perform the image processing method, and a recording medium in which the program is recorded. The image processing apparatus includes an image input receiving unit that receives an input of an image captured by a user, a correction rule setting unit that sets a correction rule for the input image in accordance with supplementary information regarding the input image in a case where the image input receiving unit receives the input of the image, and a correction suggestion unit that suggests, to the user, correction of the image, to which the correction rule is applied, in a case where the correction rule setting unit sets the correction rule.