Display Control for User-Selected Image Quality Equalization
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Solution Overview
Problem
Existing display technologies do not effectively allow users to adjust the image quality of multiple images in a list according to their preferences, leading to inconsistent and unclear visual presentation.
Innovation Solution
A display control device and method that allows users to instruct the adjustment of image quality between low and high quality, or to a target quality, through processes involving image quality calculation, correction, and application of display effects, while considering the acquisition source and adding accessory information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If image quality adjustment processes are provided for multiple images, then user control over visual presentation is improved, but device complexity increases
Solution Approach 1:
The system automatically calculates image quality metrics and applies corrections based on user selection without requiring manual intervention for each image. The processor autonomously evaluates multiple images, determines quality differences, and executes the selected adjustment process (equalize to highest, equalize to lowest, or adjust to target quality), reducing operational complexity while maintaining user control.
Solution Approach 2:
The system adjusts image quality parameters (sharpness, color saturation, brightness, contrast) based on calculated quality metrics. By transforming images into a common quality level through parameter modification, the system resolves quality inconsistencies across multiple images while providing users with controlled adjustment options.
2Stability of the object's composition
If image quality is equalized across multiple images, then visual coherence is improved, but processing time increases
Solution Approach 1:
The system calculates image quality metrics for all images in advance, before the user selects an adjustment process. This preliminary evaluation of sharpness, color saturation, brightness, and contrast allows the system to prepare correction data ahead of time, reducing the actual processing time when the user initiates quality equalization.
Solution Approach 2:
The system applies quality adjustment only to the extent necessary to achieve the selected target quality level. Rather than applying uniform heavy processing to all images, it calculates the minimal correction needed to equalize images to the highest quality, lowest quality, or a target quality level, optimizing processing efficiency.
3Adaptability or versatility
If multiple image quality adjustment options are provided, then adaptability to user preferences is improved, but ease of operation deteriorates
Solution Approach 1:
The system provides different quality adjustment options (equalize to highest, equalize to lowest, adjust to target quality) tailored to specific user needs and scenarios. Each option is optimized for particular situations, allowing users to select the most appropriate adjustment type without overwhelming complexity.
Solution Approach 2:
Instead of requiring users to manually adjust each image individually, the system inverts the approach by automatically equalizing all images to a common quality level based on user selection. This reverse automation simplifies operation while maintaining adaptability to different quality preferences.
Data Source
AI summary
Provided is a display control device that controls a list display of a plurality of images, the display control device including a processor, in which the processor is configured to receive an instruction from a user as to which of a first process of adjusting image quality of an image with relatively low image quality to image quality of an image with relatively high image quality, a second process of adjusting image quality of an image with relatively high image quality to image quality of an image with relatively low image quality, and a third process of adjusting image quality of the plurality of images to a target image quality is to be performed, and perform a process for which the instruction was received, among the first process, the second process, and the third process.