Image Processing Device Degradation Estimation Dictionary
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Solution Overview
Problem
Existing super-resolution image processing technologies face challenges in accurately estimating the degradation process applied to input images, which hinders the generation of desired restored images, especially when the degradation process is unclear or complex.
Innovation Solution
An information processing device and method that acquires study images and an input image, estimating the degradation process by comparing similarities between arbitrary regions in the input image and degraded images based on various degradation processes, allowing for the generation of a dictionary required for restoring the image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If super-resolution processing is performed without accurate degradation process estimation, then processing speed is maintained, but image restoration quality deteriorates
Solution Approach 1:
The patent applies preliminary action by pre-generating multiple degraded images from study images using different degradation processes before the actual super-resolution processing. This allows the system to quickly compare and estimate the degradation process without performing complex analysis during the main processing flow, thereby improving estimation accuracy without significantly increasing processing complexity
Solution Approach 2:
The patent uses multiple pre-generated degraded images as temporary comparison objects that are discarded after the degradation process estimation is complete. These degraded images serve as disposable reference data that enable accurate estimation without requiring complex computational resources during the actual super-resolution processing
2Measurement precision
If multiple degradation processes are considered for estimation, then estimation accuracy improves, but processing time increases
Solution Approach 1:
The patent performs preliminary degradation of study images using multiple different degradation processes to create a set of degraded reference images before the actual estimation process. This allows the system to simultaneously consider multiple degradation processes during estimation without the computational overhead of generating them on-the-fly, thus improving accuracy while minimizing processing time loss
Solution Approach 2:
The patent creates copies of study images degraded through various processes as reference data. These copied and degraded versions serve as templates for comparison, enabling the system to evaluate multiple degradation scenarios simultaneously without repeating complex processing operations during the actual estimation phase
3Manufacturing precision
If a dictionary is created based on accurate degradation process estimation, then restored image quality improves, but device complexity increases
Solution Approach 1:
The patent applies local quality by creating degradation-specific dictionary data for each type of degradation process. Instead of using a single generic dictionary, the system generates specialized dictionary entries tailored to specific degradation characteristics, which improves restored image quality for each degradation scenario while keeping the overall system manageable through localized optimization
Solution Approach 2:
The patent changes parameters by adapting dictionary creation based on the estimated degradation process parameters. The dictionary generation process adjusts its parameters according to the specific degradation type identified, allowing the system to optimize image restoration quality for different degradation scenarios without requiring a completely separate complex system for each case
Data Source
AI summary
The present invention provides an information processing device in which a degradation process of an input image is accurately estimated and a dictionary necessary for generating a desired restored image from the input image can be obtained. The information processing device is provided with: an image acquisition means that acquires a plurality of study images and an input image; and an estimation means that, on the basis of similarity between an arbitrary region of the input image and each of a plurality of degradation images in a case where regions of the study images corresponding to the arbitrary region are degraded on the basis of each of the plurality of degradation processes, outputs an estimated degradation process corresponding to the degradation process corresponding to the region of the input image.