Image Processing Device Distortion Correction Assist Display
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Solution Overview
Problem
In cross reality (xR) image processing, assist displays such as waveform monitor (WFM) or peaking displays are challenging due to the difference in image features before and after distortion correction processing, leading to delayed live view displays and potential user misinterpretation of image features.
Innovation Solution
An image processing apparatus that acquires the frequency of each pixel value from an input image, corrects this frequency based on the distortion of the input image, and generates an assist image indicating the frequency, allowing assist display to indicate features equivalent to those after distortion correction without using the corrected image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If distortion correction processing is performed to obtain the image after correction for assist display, then the assist display accurately represents the features of the corrected image, but the processing time increases and live view display is delayed
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing the relationship between distorted image coordinates and corrected image coordinates, including the distortion correction parameters. When assist display is needed, the system retrieves pre-stored frequency distribution data from the distorted image and applies the pre-calculated correction parameters to generate the corrected frequency distribution, avoiding the need to perform full distortion correction on the entire image in real-time.
Solution Approach 2:
The patent extracts only the necessary frequency distribution information from the distorted image rather than processing the entire corrected image. By extracting and analyzing only the pixel value frequency data and applying distortion correction parameters selectively to this extracted information, the system generates accurate assist display data without the computational overhead of full image correction.
2Productivity
If assist display is performed using the image before distortion correction, then the processing speed is fast and live view display is not delayed, but the assist display shows features different from the currently displayed corrected image
Solution Approach 1:
The patent introduces an intermediary process that uses pre-stored distortion correction parameters to transform the frequency distribution data from the distorted image into the corresponding frequency distribution for the corrected image. This intermediary transformation ensures that the assist display accurately reflects the features of the corrected image while maintaining fast processing speeds, as it only corrects frequency statistics rather than the entire image.
3Measurement precision
If full distortion correction processing is applied to generate assist display data, then the features match the corrected image, but the computational load increases
Solution Approach 1:
The patent applies partial action by performing distortion correction only on the frequency distribution statistics rather than on the entire image data. The system calculates pixel value frequencies from the distorted image and applies correction parameters only to transform these frequency statistics, rather than performing complete distortion correction processing on all image pixels. This partial processing achieves the necessary accuracy for assist display while significantly reducing computational load.
Data Source
AI summary
An image processing apparatus according to the present invention, includes a processor, and a memory storing a program which, when executed by the processor, causes the image processing apparatus to perform acquisition processing to acquire a frequency of each pixel value from an input image, perform correction processing to correct the frequency acquired in the acquisition processing, based on distortion of the input image, and perform generation processing to generate an assist image which indicates the frequency of each pixel value, based on the frequency of the correction processing.