Adaptive Restoration Method of Fuzzy Image Based on High-dimensional Spatial Geometric Informatics
A technology for blurring images and high-dimensional spaces, applied in the field of image processing, can solve problems such as blurring, and achieve the effect of high search accuracy and good application prospects
Active Publication Date: 2016-05-25
JIANGSU YAWEI TRANSFORMER
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[0007] The technical problem solved by the present invention is to overcome the problem of fuzzy image restoration in the prior art. The fuzzy image adaptive restoration method based on high-dimensional spatial geometric informatics proposed by the present invention uses chaotic particle swarm algorithm to select The fuzzy image restoration algorithm describes the optimal parameters of the distribution curve of the image from fuzzy to clear in high-dimensional space, effectively realizes the restoration of fuzzy images, without manual adjustment of parameters, more intelligent and practical, and has a good application prospect
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[0042] The present invention will be further described below in conjunction with the accompanying drawings.
[0043] Such as figure 1 As shown, the fuzzy image adaptive restoration method based on high-dimensional space geometric informatics, according to the HDSGI theory, the blurred image restoration process from blurred to clear continuous gradient process will form a continuous hypercurve when mapped to high-dimensional space, using chaos The particle swarm optimization algorithm adaptively selects the best hypercurve to obtain a clear restoration image, including the following steps,
[0044] Step (1), further blurring the original blurred image according to the blurring trend to obtain two blurred images of the same origin;
[0045] Step (2), initialize the particle swarm of the original blurred image, the particle dimension is 2, including two parameters representing the particle swarm distribution curve, the value range of the two particle swarm distribution curve par...
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The invention discloses a blurred image self-adaptation recovering method based on high-dimensional space geometry informatics. The characters that a chaos particle swarm algorithm is high in searching accuracy and cannot be easily caught in a local extremum are used, a blurred image self-adaptation recovering algorithm based on high-dimensional space geometry informatics is selected, optimum parameters of the corresponding curve in a high-dimensional space of an image from blurring to clearness are described, blurred image recovering is effectively achieved, manual adjusting parameters are of no need, intelligence and practicability are achieved, the method can be effectively used for clearness processing of an blurred image, and good application prospect is achieved.
Description
technical field [0001] The invention relates to the technical field of image processing, in particular to an adaptive restoration method for blurred images based on high-dimensional spatial geometric informatics. Background technique [0002] Images are the main way for humans to obtain visual information. Clear images play a pivotal role in daily life and scientific research, and are conducive to manual interpretation and machine interpretation. However, in the process of image processing, including the stages of acquisition, transmission and recording, there will be various degrees of quality degradation caused by interference from many factors, such as aberrations of the optical system, atmospheric disturbances, motion, defocus, discrete sampling and system noise. etc., will cause blurring and distortion of the image. It is particularly important to restore a clear image from a blurred image, which not only has important theoretical significance, but also has an urgent n...
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IPC IPC(8): G06T7/00
Inventor 张伟李庆武周妍霍冠英束代群刘艳江琴
Owner JIANGSU YAWEI TRANSFORMER