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)-資料下載頁(yè)

【導(dǎo)讀】圖像分割和目標(biāo)識(shí)別等后續(xù)圖像分析工作。因此，圖像增強(qiáng)技術(shù)的研究一直是圖像處理的一。針對(duì)上述問(wèn)題本文展開(kāi)以下幾個(gè)方面研究：。這種新的直方圖在灰度級(jí)統(tǒng)計(jì)過(guò)程中同時(shí)考慮各灰度。對(duì)圖像信息刻畫所起的作用。同比例的灰度級(jí)信息量分配至不同的視覺(jué)敏感度區(qū)段。文利用人眼感知能力曲線約束主導(dǎo)灰度級(jí)動(dòng)態(tài)范圍。法的分析結(jié)果，自適應(yīng)地獲取最佳調(diào)節(jié)參數(shù)。型設(shè)計(jì)的，大量測(cè)試結(jié)果表明，客觀評(píng)估算法的分析結(jié)果與主觀評(píng)估結(jié)果基本吻合。例如一幅偵察圖像甚至有可能是經(jīng)過(guò)各種欺騙和偽裝后的偵察圖像，在。影圖像，則有利于提高醫(yī)生臨床診斷的準(zhǔn)確性。鏡圖像等進(jìn)行增強(qiáng)，使醫(yī)生更容易從中確定病變區(qū)域。應(yīng)用中，主要表現(xiàn)在夜視距離近，圖像特征信息不明確等方面。大，例如TM圖像，而且各波段之間存在一定的相關(guān)性，為進(jìn)一步處理造成困難。圖均衡的增強(qiáng)思想?yún)s被其它算法廣泛采用。

　　

【正文】 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。因此希望可以通過(guò)評(píng)估算法選擇一個(gè)最有利的 JND 參數(shù)，或總結(jié)各種圖像的頻率分布特點(diǎn)，依據(jù)這些特點(diǎn)可以能夠自動(dòng)確定最優(yōu)參數(shù)值。 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。圖像處理技術(shù)與人眼視覺(jué)特性相結(jié)合是今后研究工作的方向性問(wèn)題，必須要解決。 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。使我順利完成了論文的撰寫和課題的研究，讓我在畢業(yè)之際，度過(guò)了一個(gè)充實(shí)而又有意義的學(xué)期，在此向 X老師表示由衷的感謝！此外，然后還要感謝大學(xué)四年來(lái)所有的老師，為我們打下專業(yè)知識(shí)的基礎(chǔ)；同時(shí)還要感謝所 有的同學(xué)們，正是因?yàn)橛辛四銈兊闹С趾凸膭?lì)。此次畢業(yè)設(shè)計(jì)才會(huì)順利完成。 在此我再次向 XX學(xué)院 關(guān)心過(guò)我的敬愛(ài)的老師和親愛(ài)的同學(xué)們表示崇高的敬意和衷心的感謝！ 最后，感謝我的母校 — XX 大學(xué) 四年來(lái)對(duì)我的大力栽培。 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)