【正文】 ion 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。 我還要感謝培養(yǎng)我長大含辛茹苦的父母，謝謝 您 們 ! XX 大學(xué) XX 學(xué)院 201X 屆 XXXX 專業(yè) 畢業(yè)設(shè)計(jì) 。此次畢業(yè)設(shè)計(jì)才會(huì)順利完成。 4．圖像增強(qiáng)技術(shù)與人眼視覺特性的結(jié)合 圖像增強(qiáng)的目的是改善圖像視覺質(zhì)量以便于人們對(duì)圖像的分析，但雖然圖像增強(qiáng)技術(shù)快速發(fā)展，經(jīng)常有新算法出現(xiàn)，可是這些算法所得結(jié)果總是不能達(dá)到人眼所見效果，其中主要原因是現(xiàn)在尚有許多人眼感知機(jī)理仍不清楚，這也是阻礙圖像處理技術(shù)發(fā)展的重要原因。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(jí)動(dòng)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(jí)動(dòng)態(tài)范圍作進(jìn)一步優(yōu)化調(diào)整，使最終的圖像滿足評(píng)測結(jié)果最優(yōu)。那么如何充分利用這種差異，綜合各種不同處理方法的增強(qiáng)圖像及原始圖像在不同局部域的優(yōu)點(diǎn)，使得最終的圖像獲得更好的增強(qiáng)效果，是一個(gè)值得深入研究的問題。 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。 2．為了克服傳統(tǒng)直方圖構(gòu)造的缺陷，本文提出了一種新的基于視覺注意機(jī)制的灰度級(jí)信息量直方圖構(gòu)造方法，該直方圖利用視覺注意機(jī)制衡量了圖像中任意位置的灰度級(jí) 的重要性，從而保證增強(qiáng)算法能對(duì)主要刻畫信息的灰度級(jí)進(jìn)行有效的拉伸。此外，算法充分利用視覺感知特點(diǎn)，優(yōu)化配置灰度級(jí)的動(dòng)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。 圖像增強(qiáng)算法描述 算法首先按照上一章所給出的基于視覺注意機(jī)制的灰度級(jí)信息量直方圖構(gòu)造方法得到灰度級(jí)信息量直方圖；然后采用類似直方圖均衡思想，計(jì)算分配給各灰度級(jí)的動(dòng)態(tài)范圍，并對(duì)其中動(dòng)態(tài)范圍較大（或統(tǒng)計(jì)量較大）的主導(dǎo)灰度級(jí)（動(dòng)態(tài)范圍 JND(r)），進(jìn)行限幅處理；最后將限幅處理后節(jié)省的灰度級(jí)空間 按照信息量大小分配給其它非主導(dǎo)灰度級(jí)，以實(shí)現(xiàn)整個(gè)灰度級(jí)空間的優(yōu)化配置，使圖像獲得了滿意的增強(qiáng)效果。單個(gè)像素點(diǎn)是否被感知可以通過該像素點(diǎn)灰度級(jí)與局部鄰域像素的灰度級(jí)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(shí)，該點(diǎn)可作為有效感知像素點(diǎn)。因此常用的經(jīng)典評(píng)價(jià)算法用于圖像增強(qiáng)評(píng)估存在一定的局限性： 1）沒有考慮人眼視覺的感知特點(diǎn)； 2）未區(qū)分圖像細(xì)節(jié)區(qū)（信息區(qū)）和平滑區(qū)。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。傳遞函數(shù)已被證明是評(píng)價(jià)光學(xué) /光電成像系統(tǒng)的有效工具，但僅適用于線性平移不變系統(tǒng)。 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(duì)圖像的分析。此外，由于圖像內(nèi)容的多樣性，很多算法為了獲得更佳的性能，設(shè)置了一些可供調(diào)節(jié)的參數(shù)，如果沒有通用的圖像