Image Correction Apparatus Two-Stage Parameter Estimation
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Solution Overview
Problem
Existing image processing technologies face challenges in enhancing the accuracy of captured image correction, particularly in moving image production services, where precise editing is required to ensure uniformity and quality.
Innovation Solution
An image processing apparatus and method that corrects captured images in two stages: first, by performing pixel-level corrections and estimating parameters based on the relationship between the captured image and an intermediate corrected image, and second, by applying these parameters for image frame-level corrections, using trained models or general image editing software to enhance accuracy and reduce correction failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If correction is performed for each pixel (first unit), then correction detail is improved, but correction accuracy for the entire image deteriorates due to parameter estimation errors
Solution Approach 1:
The correction process is divided into two stages: first correcting each pixel independently to obtain intermediate corrected images, then using these to estimate parameters for correcting the entire image frame. This segmentation allows detailed pixel-level correction while maintaining overall image accuracy through parameter estimation from multiple pixels.
Solution Approach 2:
The intermediate corrected images serve as feedback to estimate correction parameters for the entire image. By analyzing the relationships between original pixels and their corrected versions, the system refines the correction parameters to achieve both detailed and accurate correction results.
2Measurement precision
If manual correction is performed to ensure accuracy, then correction accuracy is improved, but processing time and labor intensity increase
Solution Approach 1:
The system performs automatic correction by executing the two-stage correction process autonomously. The processing unit automatically corrects pixels, estimates parameters from the intermediate results, and applies the parameters to correct the entire image, eliminating the need for manual intervention while maintaining high accuracy.
Solution Approach 2:
The system changes correction parameters dynamically by estimating them from the relationship between original and intermediate corrected images. This automated parameter estimation replaces manual adjustment, reducing processing time while maintaining correction accuracy through data-driven parameter determination.
Data Source
AI summary
The present disclosure relates to an image processing apparatus, an image processing method, and a program that enables enhancement of the accuracy of correction of captured images. An image processing apparatus is provided, and the image processing apparatus includes a processing unit that corrects a captured image for each first unit, estimates a parameter for correction of the captured image on the basis of a relationship between the captured image and an intermediate corrected image obtained by correction for each first unit, and corrects the captured image for each second unit larger than each first unit, using the estimated parameter. The present disclosure can be applied to a cloud server that provides services via the Internet, for example.