Image Processing Device Dynamic Parameter Generation for Display Regions
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Solution Overview
Problem
Existing image processing devices cannot perform satisfactory image processing on partial regions of an image indicated by image data without pre-set development parameters, leading to degradation in image quality when enlarging or displaying regions without specified parameters.
Innovation Solution
An image processing device sets a reference region in an image, stores its parameters, and generates parameters for a display region based on the reference region's parameters, allowing direct development processing on the display region even if it doesn't match the reference region, with options to prioritize, calculate based on distance, or consider area for multiple reference regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If image processing is executed only on a reference region with pre-set parameters, then device complexity is reduced, but adaptability deteriorates because display regions without pre-set parameters cannot be processed satisfactorily
Solution Approach 1:
The system performs preliminary action by pre-setting image processing parameters only for reference regions, while preparing to generate parameters dynamically for display regions as needed. This allows the system to maintain simplicity for commonly accessed reference areas while adapting to diverse display region requirements through on-demand parameter generation based on distance and area calculations.
Solution Approach 2:
The system implements self-service by enabling display regions to generate their own processing parameters automatically based on their relationship (distance and area) to reference regions. Instead of requiring pre-set parameters for every possible display region, the system allows parameters to be derived self-servingly from reference region data, improving adaptability without proportionally increasing complexity.
2Adaptability or versatility
If image processing parameters are pre-set for all possible display regions, then adaptability is improved, but device complexity increases due to extensive parameter storage requirements
Solution Approach 1:
The system applies local quality by maintaining detailed pre-set parameters only for specific reference regions where they are most needed, rather than uniformly pre-setting parameters for all possible display regions. This localized approach concentrates storage resources on critical areas while using generative algorithms for other regions, balancing adaptability with manageable complexity.
Solution Approach 2:
The system uses partial action by pre-setting parameters for only certain reference regions rather than all possible display regions. This partial pre-processing approach provides sufficient adaptability for commonly accessed areas while avoiding the excessive storage complexity that would result from pre-setting parameters for every conceivable display region.
3Device complexity
If image processing is executed on display regions without pre-set parameters using existing methods, then device complexity remains low, but manufacturing precision deteriorates due to image quality degradation
Solution Approach 1:
The system uses reference regions as intermediaries to bridge the gap between simple device operation and high image quality. By calculating the relationship (distance and area) between display regions and reference regions, the system generates appropriate processing parameters for display regions without requiring complex pre-configuration, thereby maintaining both simplicity and precision.
Solution Approach 2:
The system achieves high image quality through dynamic parameter changes generated based on the spatial relationship between display regions and reference regions. Instead of using fixed simple processing, the system adjusts parameters (such as distance-weighted combinations of reference region parameters) to optimize image quality for each specific display region while keeping the overall system relatively simple.
Data Source
AI summary
An image processing device includes at least one processor configured to set a reference region that is a partial region in an image indicated by image data, store, in association with the image data, information regarding the reference region including a position of the set reference region in the image and image processing parameters of the reference region, set a predetermined region in the image as a display region, and in a case where the reference region and the display region are different, generate image processing parameters of the display region based on the image processing parameters of the reference region and output a processed image obtained by executing image processing on the display region based on the generated image processing parameters of the display region.