Iterative Print Profile Refinement via Binary Selection
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Solution Overview
Problem
Users of printers and scanners are limited in adjusting complex image settings such as color and vibrance, as current technologies do not provide sufficient control to suit specific imaging needs.
Innovation Solution
An apparatus and method that generates multiple versions of a document under different settings and color profiles, allowing users to input preferences and iteratively refine print or scan profiles based on historical data and user feedback, using a processor and selection engine to select and adjust print or scan profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If users are provided with complex image adjustment settings (color, vibrance, etc.), then users can achieve preferred image quality, but the device complexity and ease of operation deteriorate
Solution Approach 1:
The patent segments the complex image adjustment process into multiple simple iterations. Instead of presenting all complex settings at once, the system divides the adjustment into sequential steps where users make simple binary choices (prefer first or second image) in each iteration, progressively refining the print profile through manageable segments.
Solution Approach 2:
The system dynamically adapts the adjustment process based on user preferences. The print profile is continuously refined and updated through iterative feedback, making the system flexible and adaptive rather than static. Each user response dynamically shapes the subsequent adjustment steps.
2Manufacturing precision
If users are provided with complex image adjustment settings, then users can achieve preferred image quality, but the ease of operation worsens
Solution Approach 1:
The complex adjustment process is segmented into simple iterative choices. Users only need to make simple binary decisions (prefer first or second image) in each iteration rather than navigating complex menus, significantly improving ease of operation while still achieving high image quality.
Solution Approach 2:
The system performs the complex analysis and profile refinement work automatically based on simple user inputs. The processor automatically generates comparative images, analyzes user preferences, and updates the print profile without requiring users to understand or manually adjust complex parameters.
3Adaptability or versatility
If multiple print profiles are stored and compared, then the adaptability to user needs improves, but the loss of time increases
Solution Approach 1:
The system performs preliminary actions by pre-storing multiple print profiles with different characteristics. This preparation allows the iterative refinement process to start from a set of pre-prepared options rather than from scratch, reducing the overall time needed for adaptation.
Solution Approach 2:
The system implements efficient feedback loops where user preferences are immediately processed to refine the print profile. This structured feedback mechanism accelerates the adaptation process by systematically eliminating incorrect parameters and converging on the optimal profile more quickly.
Data Source
AI summary
An example of an apparatus including a memory to store a plurality of print profiles and sample page data. The apparatus includes a selection engine to select a first print profile and a second print profile from the plurality of print profiles. The apparatus includes a printing device to generate a first print sample in accordance with the first print profile and to generate a second print sample in accordance with the second print profile. The apparatus includes an input device to receive input to identify a preferred print sample. The apparatus includes a processor coupled to the memory and the input device, wherein the processor is to direct the selection engine to select a third print profile based on the first print profile, the second print profile, and the input to generate a third print sample for comparison with the preferred print sample.