本文選題：圖像復原 + 調制傳遞函數(shù)��； 參考：《長春理工大學》2014年碩士論文

【摘要】：空間遙感圖像的形成經(jīng)歷了多個環(huán)節(jié),這些環(huán)節(jié)中不可避免的出現(xiàn)了圖像的退化,圖像質量降低,為了獲得高質量的空間圖像,需要對獲得的遙感圖像進行消噪和去模糊處理,一般進行圖像增強和圖像復原操作。 目前國內外各個機構對獲得高質量的遙感圖像做了研究,因此而衍生出了眾多的圖像恢復方法,例如采用圖像點擴散函數(shù)的圖像復原,采用圖像調制傳遞函數(shù)的圖像復原。本文深入研究了利用刃邊法求取點擴散函數(shù)的過程,對影響圖像復原效果的因素進行了分析,并提出了自己的評價體系用于遙感圖像的復原效果評價。 本文的主要工作如下： 1、針對圖像求取點擴散函數(shù)時的數(shù)據(jù)擬合時的精確度問題,本文提出了一種基于評價效果的最優(yōu)費米函數(shù)擬合方案用于圖像邊緣擴散函數(shù)的擬合。 2、對各個復原算法進行了復原效果的驗證,并深入探究了Lucy-Richardson復原方法中復原次數(shù)對遙感圖像的復原效果的影響。 3、針對圖像的評價效果,提出了一套基于復原后圖像噪聲的圖像評價方案用于復原后圖像的評價,實驗證明了該方案的有效性。 4、深入研究各個評價算法,針對圖像評價效率的問題,提出了基于選定區(qū)域的評價效果代替整體圖像評價效果的方案,該方案在實驗中也得到了有效性驗證。 5、總結歸納當前的圖像評價方法,利用圖像評價中的高效算法,結合數(shù)學建模中的求取極值的方法,提出了一套評價體系用于復原后圖像的評價。實驗證明了該方案針對遙感圖像評價的有效性。 6、采用vC與Matlab混合編程進行了實驗流程的驗證,采用VC多線程編程驗證了圖像的復原效果。
[Abstract]:The formation of space remote sensing image has experienced many links. In these links, the degradation of the image is inevitable, and the image quality is reduced. In order to obtain the high quality space image, it is necessary to de-noising and deblurring the obtained remote sensing image. General image enhancement and image restoration operations. At present, various institutions at home and abroad have done research on obtaining high quality remote sensing images, so many image restoration methods have been derived, such as image restoration using image point diffusion function, image restoration using image modulation transfer function. In this paper, the process of obtaining point diffusion function by edge method is studied, and the factors influencing the restoration effect are analyzed, and the evaluation system is put forward to evaluate the restoration effect of remote sensing image. The main work of this paper is as follows: 1. Aiming at the accuracy of the data fitting of the point diffusion function, In this paper, an optimal Fermi function fitting scheme based on evaluation effect is proposed for image edge diffusion function fitting. 2. The restoration effect of each restoration algorithm is verified. The influence of restoration times on the restoration effect of remote sensing image in Lucy-Richardson restoration method is discussed. 3. In view of the image evaluation effect, an image evaluation scheme based on reconstructed image noise is proposed to evaluate the reconstructed image. The experiment proves the effectiveness of the scheme. 4. The evaluation algorithm is studied deeply. Aiming at the problem of image evaluation efficiency, the evaluation effect based on the selected region is proposed to replace the overall image evaluation effect. The scheme is also validated in the experiment. 5. The current image evaluation method is summarized, and the efficient algorithm in image evaluation is used, combined with the method of calculating extreme value in mathematical modeling. An evaluation system is proposed for image evaluation after restoration. The experimental results show that the scheme is effective for remote sensing image evaluation. 6. The experiment flow is verified by mixed programming of VC and Matlab, and the effect of image restoration is verified by VC multithreading programming.
【學位授予單位】：長春理工大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TP751

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