Image Processor Thumbnail Correction via Characteristic Data
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Solution Overview
Problem
Existing image processing technologies require technical knowledge and complex operations for image calibration, making it difficult for users to perform intuitive image corrections based on visual impressions before printing.
Innovation Solution
An image processor with a receiving unit, thumbnail generating unit, characteristic quantity data determining units, correcting unit, and display unit that allows users to confirm and perform image corrections by generating a thumbnail image based on characteristic data from both the original and sample images, enabling instinctive adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If calibration data input is required for image correction, then image quality can be calibrated, but user operation becomes complex and requires technical knowledge
Solution Approach 1:
The system performs self-calibration by automatically comparing the original image with a sample image to determine correction characteristics. The image correction unit autonomously adjusts image qualities without requiring users to manually input calibration data, making the system self-sufficient and eliminating the need for user technical knowledge.
Solution Approach 2:
A sample image serves as an intermediary reference that bridges the gap between the original image and the desired corrected state. By comparing the original image against this intermediary sample, the system derives correction characteristics automatically, eliminating the need for direct user intervention in the calibration process.
2Adaptability or versatility
If multiple calibration data selections are provided, then image correction flexibility increases, but operation complexity increases
Solution Approach 1:
The system applies different correction characteristics to different regions or aspects of the image based on local comparisons with the sample image. By determining correction characteristics specific to each image region or property, the system achieves flexible, targeted correction without requiring users to navigate complex global calibration settings.
3Productivity
If image correction is performed without preview, then processing speed increases, but user confidence in correction accuracy decreases
Solution Approach 1:
The system performs preliminary correction on a thumbnail version of the image before final processing. This preliminary action allows users to preview and confirm the correction effect in advance, building confidence in the correction accuracy. Only after user confirmation does the system proceed with full-resolution processing, maintaining both speed and reliability.
Data Source
AI summary
An image forming processor includes a generating unit and a correcting unit. The first characteristic quantity data obtaining unit obtains a set of first characteristic quantity data. The receiving unit receives data of an original image. The second characteristic data obtaining unit obtains a set of second characteristic quantity data based on the data of the original image. The generating unit generates at least one set of image data concerning the first characteristic quantity data. The display unit displays the at least one set of image data to prompt a user to specify one set of image data among the at least one set of image data. The correcting unit corrects the original image by using the set of second characteristic quantity data and a set of first characteristic quantity data that has been used to generate the one set of image data specified by the user.