Image Processing Device Noise Addition Multi-Pinhole Aperture Pattern
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Solution Overview
Problem
Existing image processing techniques, such as those disclosed in Patent Literature 1, struggle to effectively prevent image restoration from noise-added images, which can compromise privacy protection.
Innovation Solution
An image processing device and method that utilize a multi-pinhole camera to capture images with parallax characteristics, and then add noise suitable for the aperture pattern of the camera, making it difficult to separate the frequency components of the image and noise, thereby suppressing image restoration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If noise is added to an image for privacy protection, then privacy protection is improved, but image restoration becomes easier
Solution Approach 1:
The patent changes the frequency domain parameters of the added noise to match the aperture pattern's frequency characteristics. By adjusting the noise frequency distribution to align with the optical system's transfer function, the noise becomes indistinguishable from actual image content, preventing effective image restoration while maintaining privacy protection.
Solution Approach 2:
The patent creates a composite signal by combining the original image with noise that has been specifically designed to match the aperture pattern's frequency characteristics. This composite approach ensures that the noise and image content are frequency-matched, making separation difficult and preventing restoration of the original image from the noisy version.
2Reliability
If general noise is added to an image, then privacy protection is improved, but image and noise frequency components can be easily separated
Solution Approach 1:
The patent modifies the frequency domain parameters of the added noise to match the aperture pattern's frequency characteristics. By adjusting the noise frequency distribution to align with the optical system's transfer function, the noise becomes indistinguishable from actual image content, preventing effective image restoration while maintaining privacy protection.
Solution Approach 2:
The patent applies different frequency characteristics to the noise in different frequency bands, matching the local frequency response of the aperture pattern. This localized frequency matching makes the noise inseparable from the image content in specific frequency regions, thereby preventing restoration while maintaining privacy protection.
Data Source
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AI summary
An image processing device includes a noise adder (12) that obtains a captured image from an image capturing device including a mask having at least one aperture, an MPH information obtainer (111) that obtains aperture pattern information corresponding to the pattern of the at least one aperture, the noise adder (12) that adds, to the captured image, noise determined according to the aperture pattern information, and a transmitter (13) that outputs the noise added captured image.