Filtering network and image processing system

Abstract

The invention discloses a filtering network and an image processing system. The filtering network comprises a plurality of gauss multipliers, and an output circuit respectively connected with the gauss multipliers, wherein each gauss multiplier comprises a first differential pair transistor which is respectively connected with a second differential pair transistor and a third differential pair transistor. The output end of the first transistor of each first differential pair transistor is respectively connected with the input ends of the two transistors of the second differential pair transistor, and the output end of the second transistor of each first differential pair transistor is respectively connected with the input ends of the two transistors of the third differential pair transistor. The input end of the first transistor is parallelly connected with the input end of the corresponding second transistor. The output ends of the two transistors of each second differential pair transistor and the output ends of the two transistors of each third differential pair transistor are respectively connected with the output circuit. Gauss convolution filtering processing is realized through simulated gauss multipliers, the gauss convolution filtering speed can be accelerated, and the circuit power consumption is reduced.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a filtering network and an image processing system. Background technique [0002] In digital signal processing technology, convolution filtering is a very important step in signal preprocessing. In the field of image processing, the Gaussian convolution filter is a smoothing filter whose function is to obtain an image with a higher signal-to-noise ratio (SNR) and avoid image ringing. In a traditional digital image processing system, the image information collected by the image sensor is converted into a digital signal by an analog-to-digital converter ADC, and digital signal processing DSP technology is used for subsequent filtering processing. [0003] However, with the development of image sensing technology, the resolution of collected images has been greatly improved, making the continuous scale expansion of multi-scale Gaussian filtering lead to a sharp increase in...

AI Technical Summary

Problems solved by technology

[0003] However, with the development of image sensing technology, the resolution of the collected images has been greatly improved, making the continuous scale expansion of multi-scale Gaussian filtering lead to a sharp increase in the amount of data and computation. It is becoming more and more difficult for traditional digital systems to meet the image Processing system requirements for real-time and power consumption

Especially embedded systems such as portable devices and wearable devices have higher design requirements in terms of high speed, miniaturization and ultra-low power consumption, and it is more difficult to meet the demand indicators

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