發(fā)布時(shí)間：2018-03-14 09:22

  本文選題：運(yùn)動(dòng)模糊復(fù)原　切入點(diǎn)：點(diǎn)擴(kuò)散函數(shù)可逆性　出處：《紅外與激光工程》2017年04期 　論文類(lèi)型：期刊論文

【摘要】：對(duì)單一圖像進(jìn)行運(yùn)動(dòng)模糊復(fù)原,存在模糊點(diǎn)擴(kuò)散函數(shù)(PSF)難以估計(jì)以及圖像反卷積的病態(tài)性問(wèn)題。利用多個(gè)PSF具有聯(lián)合可逆性的特點(diǎn),針對(duì)運(yùn)動(dòng)目標(biāo)觀測(cè),提出采用參數(shù)相同的多個(gè)成像設(shè)備共同對(duì)同一視場(chǎng)進(jìn)行拍攝,來(lái)獲取背景相同、曝光時(shí)間不同、目標(biāo)模糊程度不同的觀測(cè)圖像;然后利用同一設(shè)備獲取的序列圖像進(jìn)行目標(biāo)的模糊PSF估計(jì);并根據(jù)目標(biāo)背景的運(yùn)動(dòng)模糊疊加特征,分別從觀測(cè)圖像中提取出完整的模糊目標(biāo)圖像;最后,對(duì)這些具有不同PSF的同一目標(biāo)圖像進(jìn)行空間域迭代復(fù)原算式的聯(lián)立求解。實(shí)驗(yàn)表明:該方法設(shè)計(jì)的目標(biāo)獲取裝置對(duì)硬件條件要求較低,獲取的圖像更便于采用多點(diǎn)擴(kuò)散函數(shù)聯(lián)合進(jìn)行圖像復(fù)原,復(fù)原效果良好。
[Abstract]:For the motion blur restoration of a single image, it is difficult to estimate the fuzzy point diffusion function (PSF) and the ill-posed problem of image deconvolution. Using the characteristics of joint reversibility of multiple PSF, the observation of moving targets is studied. Several imaging devices with the same parameters are used to photograph the same field of view together to obtain the observation images with the same background, different exposure time and different target ambiguity. Then the fuzzy PSF estimation of the target is carried out by using the sequence images obtained by the same equipment; and the complete blurred target images are extracted from the observation images according to the motion fuzzy superposition characteristics of the target background. Finally, The same target images with different PSF are solved simultaneously by iterative algorithm in spatial domain. The experimental results show that the target acquisition device designed by this method requires less hardware conditions. The obtained image is more convenient for image restoration using multipoint diffusion function, and the restoration effect is good.
【作者單位】： 海軍航空工程學(xué)院青島校區(qū)航空偵察教研室;北海艦隊(duì)指揮所;
【基金】：山東省自然科學(xué)基金(ZR2013F0025)
【分類(lèi)號(hào)】：TP391.41

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