【正文】 灰度級范圍為 125，第三個區(qū)域的灰度級范圍為 56。為此，本文對人眼視覺感知能力進(jìn)行了研究針對其特點(diǎn)將 JND 曲線分為不同的視覺敏感度區(qū)段，提出了將不同比例的灰度級信息量分配至不同的視覺敏感度區(qū)段。該問題包括了多個子問題的研究：融合算法的對比研究；不同算法的增強(qiáng)圖像的融合研究；同一算法不同參數(shù)設(shè)置獲取的多幅增強(qiáng)圖像的融合研究等。 參考文獻(xiàn) [1]高彥平，圖像增強(qiáng)方法的研究與實(shí)現(xiàn)： [碩士學(xué)位論文 ]， 河北 ； 河北 科技大學(xué)， 20xx [2]阮秋琦，數(shù)字圖像處理學(xué)，北京：電子工業(yè)出版， ~199 [3] 著，朱志剛等譯，數(shù)字圖像處理，北京：電子工業(yè)出版社， 1998 [4]夏良正，數(shù)字圖像處理，南京：東南大學(xué)出版社， 20xx， 6： 138~148 XX 大學(xué) XX 學(xué)院 201X 屆 XXXX 專業(yè) 畢業(yè)設(shè)計(jì) 26 [5]朱秀昌，劉峰，胡棟，數(shù)字圖像處理與圖像通信，北京：北京郵電大學(xué)出版 社， ~70 [6]周新倫，數(shù)字圖像處理，北京：國防工業(yè)出版社， ~110 [7]Pizer S M,Zimmerman J B,Staab E grey level assignment in CT scan of Computer Assisted Tomography,1984,8(2):300~305 [8]Pizer S M,Amburn E P,Austin J D,et histogram equalization and its Vision,Graphics,and Image Processing,1987,39(3):355~368 [9]Jones R D,Tjahjadi study of modification of the local histogram equalization Recognition,1993,26(9):1373~1381 [10]Kim J Y,Kim L S,Hwang S advanced contrast enhancement using partially overlapped subblock histogram Transactions on Circuits and Systems for Video Technology,20xx,11(4):475~477 [11]Caselles V,Lisani J L,Morel J M,et preserving local histogram Transactions on Image Processing,1999,8(2):220~230 [12]Mallat theory for multiresolution signal deposition:The wavelet Transaction on PAMI,1989,11(7):674~693 [13]Crouse M S,Nowak R D,Baraniuk R statistical signal processing using hidden Markov Transactions on Signal Processing,1998,46 (4):886~902 [14]Strela V,Heller P N,Strang G,et application of multiwavelet filterbanks to image Transactions on Image Processing,1999,8(4):548~563 [15]Donoho D by Transactions on Information Theory,1995,41(3):613~627 [16]Laine A F,Schuler S,Jian F,et feature enhancement by multiscale Transactions on Medical Imaging,1994,13(4):725~740 [17]彭冬亮，降質(zhì)圖像處理方法及其在機(jī)器人視覺系統(tǒng)中的應(yīng)用： [博士論文 ]， 浙江：浙江大學(xué)， 20xx [18]Bolton A G,Brown S F,Moran putationally efficient algorithm for enhancing linear features in Recognition,1996,29(12):2017~2023 XX 大學(xué) XX 學(xué)院 201X 屆 XXXX 專業(yè) 畢業(yè)設(shè)計(jì) 27 [19]Sattar F,Floreby L,Salomonsson G,et enhancement based on a nonlinear multiscale Transactions on Image Processing,1997,6(6):888~895 [20]Weickert diffusion Journal of Computer Vision,1999,13(2):111~127 Study on the Image Enhancement Based onthe Human Vision Property X XXX (Department of Physics, DeZhou University, Dezhou, 283013) Abstract: Image enhancement could achieve a better visual effect and improve the human eye’s ability to identify ,as a preconditioning technique,it canmake the processed images more suitable than the original ones to do the following analysis such as parameter estimation,image segmentation,object recognition and so ,the study on enhancement has always been being one of the main contents in image processing ,the traditional image enhancement algorithms based on histogram have several )The information carried by gray levels is inconsistent with its statistic data in conventional )The conventional histogram equalization has not made full use of the visual sensitive regions in the process of gray level )The parameters cannot be optimized on and configured adaptively in view of the variability of the image content. To cope with these problems,the relative detailed work can be concluded as follows. First,to overe the drawback of conventional histogram,a novel histogram construction method has been proposed based on visual attention the quantity and space distribution are considered in the statistic process of gray levels. The importance of gray levels in different positions can be calculated by using the putational model of visual attention ,the statistic results are weighted according to the importance of every new histogram method could reflect the influence of the gray levels on the image information objectively. XX 大學(xué) XX 學(xué)院 201X 屆 XXXX 專業(yè) 畢業(yè)設(shè)計(jì) 28 Second,in order to consider the nonlinear character of visual perception in the process of gray level adjustment fully,it has been raised that different amounts of gray level information are distributed to different visual sensitive region with high sensitivity should be allocated more the main gray levels are constrained by using the perception ability curve of human eyes,avoiding them occupying large space in the expanding process of histogram. Finally,in order to obtain better image enhancement results,the proportions of histogram information distributed to every visual sensitive region should be adjusted due to the variability of image ,an adaptive method to obtain the optimal regulating parameters is proposed based on the analysis of the image. 致 謝 在論文完成之跡，我要感謝我的導(dǎo)師 XXX老師在論文題目的選定、研究方案的制定以及后期論文的修改工作中給出了許多寶貴的建議，并且給予了我極大的關(guān)心和幫助。此次畢業(yè)設(shè)計(jì)才會順利完成。實(shí)驗(yàn)測試發(fā)現(xiàn)，適當(dāng)?shù)卣{(diào)整圖像的主導(dǎo)灰度級動態(tài)范圍，還可以進(jìn)一步提高有效感知點(diǎn)數(shù)，因此，可以將現(xiàn)有的各灰度級動態(tài)范圍作進(jìn)一步優(yōu)化調(diào)整，使最終的圖像滿足評測結(jié)果最優(yōu)。 5．基于新型的直方圖及視 覺特性參數(shù)約束，提出了一種新的增強(qiáng)算法，并經(jīng)過實(shí)驗(yàn)驗(yàn)證，該算法整體性能較優(yōu)，處理后的圖像具有滿意的視覺效果。此外，算法充分利用視覺感知特點(diǎn)，優(yōu)化配置灰度級的動態(tài)范圍，使圖像不僅保留了更多的細(xì)節(jié)信息，并且獲得了滿意的視 覺效果。單個像素點(diǎn)是否被感知可以通過該像素點(diǎn)灰度級與局部鄰域像素的灰度級偏差來確定，當(dāng)與某一鄰近像素灰度偏差大于給定閾值時，該點(diǎn)可作為有效感知像素點(diǎn)。實(shí)際上，在考慮人眼與視網(wǎng)膜條件下，人眼傳遞函數(shù)更接近于帶通濾波器。 人眼視覺調(diào)制傳遞函數(shù) 在實(shí)際應(yīng)用中，許多圖像 處理與分析的目的是改善圖像視覺質(zhì)量以便于人們對圖像的分析。此即為對主導(dǎo)灰度級動態(tài)范圍進(jìn)行限