Research Of Restoration For Degraded Image Based On UAV

With the UAV using more widely, the UAV recovery of degraded image is moreand more important. As the imaging system may be affected by the posturechange,relative motion, mechanical vibrations and atmospheric turbulence,it will leadto the low quality of the collected images. Image restoration use prior knowledge toestablish a mathematical model of the image degradation. The use of the reverseprocess, the degraded image recovery, due to the presence of noise, making the imagerestoration problem is usually morbid. The study of UAV aerial may be affected bythe noise,so the image de-noising technology was studied. Addition UAV in flightbecause of jitter and other reasons lead to the acquired image blurring,especially forthe one-dimensional uniform linear motion blur caused by practical algorithm forimage restoration. The simulation, these algorithm to calculate has great value inpractice.The technology continues to evolve and progress with the image restoration,image restoration method has been further expanded and more and more mature.Analysis and research,extensive literature study,the two most common types of UAVaerial image caused mainly includes an image affected by noise and motion blur.Themain work content contain:a）We discuss the importance of UAV applications are widely and increasinglyprominent and more popular both at home and abroad for image restoration methodmight encounter in the process of UAV aerial image degradation situation.b) More comprehensive and in-depth research paper image restoration relevanttheoretical knowledge and cutting-edge technology, and then analyzes the imagedegradation factors, as well as some of the more common noise, and then a morein-depth study of the image degradation model, as the theory of image restoration thefoundation has an important position. Subsequently encountered in the processing of motion-blurred image point spread function, given the basic steps of image restorationin this case. Finally, in image restoration with some mathematical formula to providea comprehensive solid theoretical foundation for the introduction of the followingsections.c) Paper by existing image de-noising technology research, analysis technologysome shortcomings and to introduce some improvements to the idea of the effect oftheir recovery experimental simulation, you can clearly see the effect of the recovery,and after conclusions obtained in the comparison and experimental procedure given inalgorithm.d) The paper completed the identification of the point spread function,tounderstand that the point spread function of the solution is solving its two parameters.Learning literature,respectively,given a parameter solving method,and shows theprocess of solving the actual operation,you can see it is quite accurate estimates of theparameters,so that the following motion-blurred image restoration do paving the way.e) Further more,Papers motion blurred image restoration algorithms wereintroduced,given a few more classic mature recovery method,but also throughsimulation experiments show the effect of the recovery.Last convergence in the theblind deconvolution recovery method simple improvements,improved its closingspeed remains recovery accuracy.f) Papers before several on the effect of the restoration of the degraded imagerestoration algorithm comparison, so you can see which method is more suitable forUAV degraded image restoration.g) Finally, having a brief conclusion of the specific works done on the UAVdegraded image restoration-based study, and pointed out its weakness and the fieldswhich can have a further research.This paper studies the UAV aerial image may encounter in degraded research andsome theoretical basis, and present the image degradation caused by the noise and motionblur recovery methods. Summed up some shortcomings and the directions ofimprovement, and in the simulation experiment,the effect of the recovery has beenproved and achieves the anticipated plan.