Multi-camera panoramic image construction method based on compressed sensing and super-resolution reconstruction

Abstract

The invention discloses a multi-camera panoramic image construction method based on compressed sensing and super-resolution reconstruction. An image super-resolution theory is introduced into compressed sensing reconstruction; the method starts from the observation interference angles of reducing compressed sensing observation redundancy and removing damaged observation values. And a robust compressed sensing image super-resolution reconstruction technology is established, and a high-resolution and high-quality image with rich details from a damaged observation value in the set at a super-resolution far less than the observed quantity is reconstructed under the traditional compressed sensing theory under the constraint of the constructed minimum effective observation set. According to themethod, a novel compressed sensing image super-resolution reconstruction technology is applied to a multi-view camera network with limited power supply; under the condition that the resolution of an imaging system is low, reduction of the image acquisition data volume and improvement of the image spatial resolution can be achieved, the reconstructed panoramic image is rich in detail and high in resolution, and a theoretical basis is provided for further achieving long-time video monitoring of large scenes such as the field.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a multi-camera panoramic image construction method based on compressed sensing and super-resolution reconstruction. Background technique [0002] The monitoring of large-scale scenes such as the field often encounters challenges such as complex environments and wide coverage. A single image acquisition front-end camera set device cannot achieve panoramic reconstruction. The resulting multi-view camera network is composed of a large number of micro-camera nodes deployed in the monitoring area, covering the entire area with different viewing angles and orientations. The data collected by each front-end node is fused, and the joint reconstruction technology is used to realize the reconstruction of the panoramic image. Since the imaging resolution of traditional cameras is heavily dependent on the performance of the image sensor, in order to ensure the imaging quality...

AI Technical Summary

Problems solved by technology

However, the amount of information in the original image of CS is evenly distributed in the observation values, and each observation value can be regarded as a description of the original image, which is very different from the pixel value of the low-resolution image, so the low-resolution image The pixel value of does not meet the requirements of CS about the observed value

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