Complementary blurred image acquisition system and blurred image recovery method using complementary blurred image acquisition system

Abstract

The invention provides a complementary blurred image acquisition system and a blurred image recovery method using the complementary blurred image acquisition system. The system comprises a spectroscope, a first prism combination and a second prism combination. The method comprises the following steps of: establishing the complementary blurred image acquisition system; acquiring two degraded images of the same scene under the influence of motion blur; obtaining an initial blur core and the estimation of a clear image by taking the relationship between two blur cores as a constraint; thinning the blur cores; and performing deconvolution on the image by the finally obtained blur cores to obtain an ideal image deblurring result. According to the complementary blurred image acquisition system, the images of the two groups of prisms are arranged side by side, and images of a 90-degree rotation relationship can be shot by a camera. The motion blurred image recovery method is simple, effective, and high in robustness and real-time performance; and on the premise of low complexity, the recovery effect of the motion blurred image can be improved remarkably.

Description

technical field [0001] The invention relates to the technical field of image visual enhancement, in particular to a complementary blurred image acquisition system and a motion blurred image restoration method using the system. Background technique [0002] Motion blur is a ubiquitous phenomenon in the imaging process. For a camera located on a fast-moving car, airplane or other aircraft, during the process of capturing images, due to the relative speed of the subject or the shaking during the capturing process, the captured images will have motion blur, which will seriously affect the quality of the acquired images. Realize the restoration of motion blurred images and restore the original clear images, which is conducive to obtaining higher-resolution image detail information, and is a very necessary preprocessing process for subsequent processing based on image information. [0003] In the study of motion blur, it is usually assumed that the resulting blurred image obeys t...

AI Technical Summary

Problems solved by technology

This kind of method continuously shoots the scene, requires the scene to be static, and has high requirements for image alignment, and the alignment of blurred images is very difficult, and even manual adjustment is difficult to achieve precise alignment

[0008] For the shooting problem of fast-moving cars and airplanes, the relative speed of the shooting object is too fast or the shaking during the shooting process makes the blur kernel scale large and complex, and it is difficult to obtain ideal results based on a single image.

At the same time, due to the rapid movement of the camera relative to the scene, continuous shooting of the same scene cannot be achieved.

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