High-fidelity video amplification method based on deconvolution image restoration

Abstract

The invention discloses a high-fidelity video amplification method based on deconvolution image restoration, and relates to the technical field of imaging. The method improves quality of images of a camera subjected to video amplification, and solves problems, such as conflict between improvement of resolution and degradation of images after amplification. The method comprises the following steps of: testing a lens of a to-be-tested camera, and acquiring a point spread function of the to-be-tested camera; executing interpolation for an original image through an interpolation method, and obtaining a to-be-restored interpolated image; transforming the point spread function to a spatial domain through Fourier inversion, and obtaining a deconvolution pre-selection template; further intercepting the deconvolution pre-selection template, and obtaining a deconvolution template with the size of 13*13; and performing real-time two-dimensional convolution for the deconvolution template and the to-be-restored interpolated image, and obtaining a restored amplified image. The method performs real-time processing according to a pixel clock rate based on a parallel pipeline thought, reduces hardware performance requirements and code design complexity, and is easy for engineering implementation and highly adaptable.

Description

technical field [0001] The invention relates to the field of imaging technology, in particular to a high-fidelity video amplification method based on deconvolution image restoration. Background technique [0002] In recent years, with the continuous development of imaging technology. High frame rate and high resolution cameras are more and more used in military, industrial, security, scientific research and many other fields. However, due to the resolution of the imaging device, the magnification of the optical system, the size and weight of the camera, and many other factors, it still cannot meet people's requirements for camera resolution in many applications. At this time, it is often necessary to combine the zoom technology of the optical system and the electronic image magnification technology to improve the resolution of the camera. [0003] Electronic image magnification technology usually performs interpolation processing on the original resolution image, and achie...

AI Technical Summary

Problems solved by technology

Although this type of interpolation method can complete the interpolation process quickly, it often causes loss of image quality due to the simplicity of the algorithm, which weakens the edge energy of the image and reduces the image transfer function.

Images