Imaging Apparatus Spatial Thinning Fixed Pattern Noise Data
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Solution Overview
Problem
Imaging apparatuses with solid-state image sensors face significant delays in outputting video due to the large amount of data related to fixed pattern noise from numerous image capturing elements, leading to prolonged startup times as the data must be transmitted and processed before video can be reflected.
Innovation Solution
The imaging apparatus employs spatial thinning processing to reduce the amount of fixed pattern noise data transmitted, allowing for interpolation and supplement processing, thereby reducing the time required to output video by transmitting only thinned data and using interpolation to generate data for untransmitted pixels, which are then replaced by the CCU for video processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all fixed pattern noise data from numerous image capturing elements are transmitted to the CCU, then video processing accuracy is improved, but transmission time increases significantly
Solution Approach 1:
The patent extracts only the essential fixed pattern noise data from the complete dataset of image capturing elements. By identifying and transmitting only the critical noise characteristics rather than all raw data from every pixel, the system reduces transmission volume while maintaining sufficient accuracy for video processing corrections.
Solution Approach 2:
The patent segments the fixed pattern noise data into manageable portions, processing different regions or types of noise data separately. This allows the system to transmit and process noise information in smaller chunks rather than as a single large dataset, reducing overall transmission time while preserving processing accuracy.
2Measurement precision
If a large number of image capturing elements are used, then image quality is improved, but the amount of noise data increases
Solution Approach 1:
The patent extracts only the necessary noise characteristics from the complete dataset generated by numerous image capturing elements. By identifying and transmitting only the essential fixed pattern noise parameters rather than all raw data from every pixel, the system maintains high image quality while reducing the quantity of transmitted noise data.
Solution Approach 2:
The patent changes the representation of noise data from raw pixel-level measurements to summarized noise parameters. By transforming the data into condensed parameter forms that capture the essential noise characteristics without the volume of original data, the system maintains measurement precision while reducing data quantity.
3Measurement precision
If fixed pattern noise data is transmitted and processed before video output, then video processing accuracy is improved, but startup time increases
Solution Approach 1:
The patent performs preliminary processing of fixed pattern noise data by pre-identifying, pre-segmenting, and pre-compressing the noise characteristics before they are needed for video processing. This advance preparation reduces the time required during actual video operation, as the noise data is already organized and ready for efficient processing.
Solution Approach 2:
By extracting and preparing only the essential noise data in advance rather than processing all raw data from every image capturing element, the system reduces the preliminary processing time required at startup. This allows the system to reach operational status faster while maintaining video processing accuracy through the use of condensed noise parameter data.
Data Source
AI summary
An imaging apparatus of an embodiment includes a captured video signal outputting unit, a data outputting unit, a supplement processing unit, and a video processing unit. The captured video signal outputting unit outputs a captured video signal related to video captured using an image capturing element. The data outputting unit outputs part of data related to the image capturing elements stored in a storage unit. The supplement processing unit receives the outputted part of the data related to the image capturing elements and uses the received part of the data related to the image capturing elements to perform supplement processing of the data. The video processing unit performs video processing of the outputted captured video signal using the supplement processed data and outputs a video signal.