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基于人眼視覺(jué)特性的圖像增強(qiáng)算法研究畢業(yè)設(shè)計(jì)(參考版)

2025-07-06 00:54本頁(yè)面
  

【正文】 我還要感謝培養(yǎng)我長(zhǎng)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。 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(guó)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(jué)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。 4.圖像增強(qiáng)技術(shù)與人眼視覺(jué)特性的結(jié)合 圖像增強(qiáng)的目的是改善圖像視覺(jué)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(jiàn)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。 3.參數(shù)的自動(dòng)調(diào)節(jié) 本文的一些參數(shù),如在評(píng)估算法中,不同的頻率段對(duì) JND 閾值的要求也不同,本文是根據(jù)圖像自身像素灰度級(jí)的變化劇烈程度人為設(shè)定的 JND 閾值,算法的可移植性差。實(shí)驗(yàn)測(cè)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(cè)結(jié)果最優(yōu)。該問(wèn)題包括了多個(gè)子問(wèn)題的研究:融合算法的對(duì)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。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(wèn)題。 本文考慮了人眼視覺(jué)的生理
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