Industrial CCD color imaging system based on super-resolution reconstruction and automatic registration

Abstract

The invention discloses an industrial CCD color imaging system based on super-resolution reconstruction and automatic registration of an FPGA and a DSP. The imaging system consists of a hardware system and a software system, wherein the hardware system comprises a video acquisition module which uses a color CCD camera and a monochrome CCD camera to perform real-time acquisition of different resolutions, a module used for analog video digitalization and system conversion, a video pre-processing and automatic and reconstruction parameter registration module based on the FPGA, an automatic registration and trous wavelet fusion reconstruction algorithm realization module taking the DSP as the core, and an Ethernet communication interface module; and the software system is mainly a fusion algorithm which realizes a path of low-resolution color video and a path of high-resolution monochrome video through automatic registration and then adopts a fusion algorithm of combining trous wavelet and IHS to reconstruct a needed high-resolution color video.

Description

1. Technical field [0001] The invention breaks through the limitations of existing hardware equipment by adopting digital signal processing technology, and provides a high-resolution imaging system for industrial video monitoring and monitoring. It belongs to the fields of video surveillance, image acquisition and digital signal processing. 2. Background technology [0002] In industrial video surveillance monitoring applications, high-resolution images can often provide the required important details. In order to obtain high-resolution images, people first think of improving the performance of hardware devices. Since the 1970s, a batch of high-precision imaging devices (CCD) and CMOS image sensors have been put into use to obtain high-resolution digital images, and they use different hardware technologies to change the performance of existing devices. One is to reduce the pixel size by increasing the number of sensors to increase the pixel density. The other is to increa...

AI Technical Summary

Problems solved by technology

In image super-resolution fusion reconstruction, not only an image is involved in the calculation, but also the reconstruction algorithm has a large amount of calculation. Therefore, it is difficult to meet the requirements of industrial applications by simply using a PC, and the cost is high, real-time and flexible. sex is also poor

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