Electronic Viewing Device 3D Visual Manifold via Fourier Transform
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Solution Overview
Problem
Current electronic viewing devices lack the capability to effectively create a new sensation of a real 3D visual manifold, particularly in providing a modified reality experience that is not achievable through conventional image processing and display technologies.
Innovation Solution
An electronic viewing device equipped with image sensors, image processing units, and display devices that alter sensed images using distortion algorithms such as local Fourier transformations, convolutions, and coordinate transformations, and superimpose these distorted images with real-time observed images to create a hybrid 3D visual experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional image processing algorithms are used to improve image quality, then image clarity and accuracy are improved, but the ability to create new sensation of 3D visual manifold is limited
Solution Approach 1:
The patent applies parameter changes by transforming image data from standard spatial coordinates to frequency domain parameters using Fourier transformations. This allows the system to manipulate visual information in a different parameter space, creating distorted images that produce hallucinatory effects while maintaining image quality through controlled transformation parameters.
Solution Approach 2:
The patent introduces another dimension by adding frequency domain processing to the traditional spatial domain image processing. By applying Fourier transformations and manipulating frequency components, the system creates a multi-dimensional processing approach that generates new visual sensations beyond conventional 3D display capabilities.
2Adaptability or versatility
If distortion algorithms are applied to create hallucinatory effects, then new sensation of 3D visual manifold is achieved, but image accuracy and realism deteriorate
Solution Approach 1:
The patent applies partial action by selectively applying distortion algorithms to specific frequency components or regions of the image rather than uniformly distorting the entire image. This allows the system to create hallucinatory effects in certain areas while preserving image accuracy in other areas, balancing both requirements.
3Adaptability or versatility
If multiple image processing operations are performed in real-time, then visual manifold manipulation capability is improved, but processing speed and energy consumption worsen
Solution Approach 1:
The patent applies preliminary action by pre-computing and storing Fourier transformation basis functions and distortion parameters in lookup tables. During real-time operation, the system retrieves pre-computed data and applies simple parameter adjustments rather than performing full transformations, significantly improving processing speed while maintaining visual manifold manipulation capabilities.
Data Source
AI summary
Electronic viewing devices including image sensors, image processing units, image displays devices, and optional viewfinders are disclosed. Optionally, the image processing unit is configured to produce a distorted image. In some embodiments, the production of the distorted image include using at least one distorting algorithm including coordinate transformations, time transformations, a color transformations a value transformation, and any combination thereof. Optionally, the distorted image is superimposed on a preserved image to form a hybrid image. Exemplary image sensors include but are not limited to visible light sensors, magnetic sensor, heat sensor, infra red sensor, echo location sensor, radio location sensor, remote location reporting sensor, proximity sensor, motion sensor, or a combination thereof. In some embodiments, the present invention provides a device that wherein the image processing unit includes an image classifier, and alphanumeric electronic data based upon a classified image is displayed by the displayed device and viewed through a viewfinder.