Image Deformation via Candidate Area Exclusion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image processing technologies for deformation are complex and inefficient, particularly when dealing with multiple faces in an image, leading to increased processing loads and memory consumption, especially in multifunctional devices like printers.
Innovation Solution
An image processing device that includes a candidate area setting unit, an exclusion determination unit, and a deformation processing unit, which selectively targets specific areas for deformation based on predetermined conditions to reduce overlap, size, and orientation, thereby minimizing processing load and memory consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If deformation processing is performed on all detected faces in an image, then complete face deformation is achieved, but processing load and memory consumption increase significantly
Solution Approach 1:
The patent extracts only the necessary candidate areas for deformation by introducing an exclusion determination unit that identifies and excludes areas not requiring deformation. This selective extraction approach maintains deformation completeness for needed areas while reducing the overall processing scope, thereby lowering processing load and memory consumption without sacrificing reliability.
Solution Approach 2:
The patent applies local quality by treating different areas of the image differently - only candidate areas that meet specific exclusion criteria are subjected to deformation processing, while other areas are excluded. This localized approach ensures that deformation is applied only where necessary, reducing overall processing complexity while maintaining completeness for relevant regions.
2Reliability
If multiple overlapping candidate areas are processed for deformation, then all areas are deformed, but memory utilization increases due to saving intermediate results
Solution Approach 1:
The exclusion determination unit extracts and excludes overlapping areas that would require intermediate saving, allowing the system to process only non-overlapping candidate areas. This eliminates the need to save deformed image data for subsequent processing, significantly reducing memory consumption while maintaining adequate deformation coverage through selective area identification.
Solution Approach 2:
The patent applies partial action by processing only the necessary candidate areas that do not require intermediate saving, rather than processing all possible overlapping areas. This selective partial processing reduces memory requirements while still achieving sufficient deformation coverage for the most important areas.
3Manufacturing precision
If image is divided into multiple small areas with different scaling factors, then precise local deformation is achieved, but processing complexity increases
Solution Approach 1:
The patent extracts only the essential candidate areas that require deformation, excluding unnecessary areas from processing. This reduction in the number of areas to be processed simplifies the overall processing complexity while maintaining deformation precision for the extracted candidate areas through appropriate scaling factor application.
Solution Approach 2:
The patent applies local quality by assigning different scaling factors to different candidate areas based on their specific characteristics. This allows precise local deformation for each candidate area while managing processing complexity through the exclusion determination unit that limits the total number of areas requiring such detailed processing.
Data Source
AI summary
An image processing device that executes deformation of an image includes a candidate area setting unit, an exclusion determination unit and a deformation processing unit. The candidate area setting unit sets candidate areas, each of which includes a specific image, on a target image used as a target for a deformation process. The exclusion determination unit, when there is an overlap between the candidate areas, excludes one or more candidate areas from the target for the deformation process so as to eliminate the overlap. The deformation processing unit performs deformation of the image on the candidate areas other than the excluded candidate areas.