AI-based intelligent image preprocessing method and system
An intelligent image and preprocessing technology, applied in image data processing, image memory management, image enhancement, etc., can solve problems such as limited effects, and achieve the effects of increasing hardware costs, improving algorithm performance, and lowering cache requirements
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[0021] This embodiment uses an integrated circuit (ASIC) to replace the traditional AI chip, and uses the stacking technology to integrate the ASIC into the image sensor, and utilizes the corresponding relationship between the input image and the output feature map involved in the CNN calculation in the spatial position. One feature allows the sensor to scan the pixel array synchronously with the CNN calculation: the image sensor stores the pixel information obtained by line scanning into the cache, and performs a CNN calculation when the memory is full, and then continues to scan the following pixels. In this way, there is no need to input a complete picture at one time, which reduces the requirement for cache size, and the entire computing task can be completed under limited hardware storage resources.
[0022] like image 3 As shown, when the image sensor includes N rows and M columns of pixel arrays, the required size of the buffer is n×M, where N is preferably an integer ...
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