基于人眼視覺(jué)特性的圖像增強(qiáng)算法研究,本

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7、y X XXX (Department of Physics, DeZhou University, Dezhou, 283013 Abstract: Image enhancement could achieve a better visual effect and improve the human eyes ability to identify information.Moreover,as a preconditioning technique,it canmake the processed images more suitable than the original ones t

8、o do the following analysis such as parameter estimation,image segmentation,object 37 recognition and so on.Thus,the study on enhancement has always been being one of the main contents in image processing field.However,the traditional image enhancement algorithms based on histogram have several shor

9、tcomings.1The information carried by gray levels is inconsistent with its statistic data in conventional histogram.2The conventional histogram equalization has not made full use of the visual sensitive regions in the process of gray level adjustment.3The parameters cannot be optimized on and configu

10、red 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 overcome the drawback of conventional histogram,a novel histogram construction method has been proposed based on visual attention mechanism.Bot

11、h 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 computational model of visual attention mechanism.Meanwhile,the statistic results are XX 大學(xué) XX 學(xué)院 201X 屆 XXXX 專業(yè) 畢業(yè)設(shè)計(jì) weig

12、hted according to the importance of every pixel.The new histogram method could reflect the influence of the gray levels on the image information objectively. Second,in order to consider the nonlinear character of visual perception in the process of gray level adjustment fully,it has been raised that

13、 different amounts of gray level information are distributed to different visual sensitive regions.The region with high sensitivity should be allocated more information.And the main gray levels are constrained by using the perception ability curve of human eyes,avoiding them occupying large space in

14、 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 content.Thus,an adaptive method to obtain the optimal regulating parameters is proposed based on the analysis of the image. 致 謝 38 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