【正文】 e information and restraining other information selectively it can improve image visual effect observably or puter analysis and processing better. Increasing the intervals of gray levels, enhancing gray contrast is implemented by the traditional gray enhancement algorithms. When the number of gray levels used by an image is very less, anticipated effects are difficultly achieved. Wavelet analysis has predominant advantages in image denoising and image enhancement，due to its extracting multiresolution characters of signal and making the difference between noise and signal very clear． This thesis proposed the grads enhancement algorithm based on wavelet transforms that can achieve the better effects by increasing the number of gray levels and enhancing gray contrast. Using appropriate method of image enhancement for different characteristics of images, better enhancement effects can be achieved． Experiences showed that the improved algorithms proposed by the thesis achieved better effects than the existing algorithms． Keywords： Image processing。針對不同特點(diǎn)的圖像采用相應(yīng)的圖像增強(qiáng)方法可以達(dá)到較好的增強(qiáng)效果。 小波多分辨分析由于它能多尺度多角度提取信號特征，往往可在不同尺度上噪聲和信號明顯地區(qū)分開來，所以它在圖像去噪和增強(qiáng)方面有很大優(yōu) 勢。傳統(tǒng)的圖像灰度增強(qiáng)方法通過增大灰度級別的間距來達(dá)到增加圖像灰度對比度的目的。圖像自適應(yīng)增強(qiáng)算法研究畢業(yè)設(shè)計(jì)（論文） 沈陽大學(xué)畢業(yè)設(shè)計(jì)（論文） No 0 圖像自適應(yīng)增強(qiáng)算法研究 圖像自適應(yīng)增強(qiáng)算法研究畢業(yè)設(shè)計(jì)（論文） 沈陽大學(xué)畢業(yè)設(shè)計(jì)（論文） No 1 目 錄 引 言 ............................................................................................................................................. 3 1圖像增強(qiáng)的基本理論 .............................................................................................................. 7 概念 ..................................................................................................... 7 ............................................................................................................... 7 ................................................................................................................................... 7 ................................................................................................................................... 9 ............................................................................................................................... 10 ................................................................................................................. 11 ......................................................................................................... 12 ............................................................................................................. 13 ........................................................................................................................... 14 ......................................................................................................... 14 ................................................................................................................. 16 ....................................................................................................................... 17 1 .5局域直方圖均衡化 .............................................................................................................. 18 2 圖像增強(qiáng)方法的改進(jìn) ........................................................................................................... 21 ........................................................................................... 22 ......................................................................................................... 22 ............................................................................................................. 23 ..................................................................................................... 25 ................................................................................................. 25 ....................................................................................... 27 ......................................................................................................................... 28 ............................................................................................. 30 3 幾種增強(qiáng)的實(shí)驗(yàn)結(jié)果 與分析 ............................................................................................. 32 小波增強(qiáng) ............................................................................................................................... 32 直方圖 均衡化 ....................................................................................................................... 34 ....................................................................................................................................... 37 結(jié) 論 ........................................................................................................................................... 38 致 謝 ........................................................................................................................................... 40 參考文獻(xiàn) ...................................................................................................................................... 41 圖像自適應(yīng)增強(qiáng)算法研究畢業(yè)設(shè)計(jì)（論文） 沈陽大學(xué)畢業(yè)設(shè)計(jì)（論文） No 2 附錄 1 ............................................................................................................................................ 44 附錄 2 ............................................................................................................................................ 45 圖像自適應(yīng)增強(qiáng)算法研究畢業(yè)設(shè)計(jì)（論文） 沈陽大學(xué)畢業(yè)設(shè)計(jì)（論文） No 1 摘 要 在圖像處理中，圖像增強(qiáng)技術(shù)對于提高圖像的質(zhì)量起著其重要作用。它通過有選擇的強(qiáng)調(diào)圖像中的某些信息而抑制另外