Double-plateaus Histogram Enhancement Algorithm for Low-light-level Night Vision Image
العنوان: | Double-plateaus Histogram Enhancement Algorithm for Low-light-level Night Vision Image |
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المؤلفون: | He Xi, Cui Wanlong, Yang Shubin, Cao Heng |
المصدر: | Journal of Convergence Information Technology. 6:251-256 |
بيانات النشر: | AICIT, 2011. |
سنة النشر: | 2011 |
مصطلحات موضوعية: | Computer Networks and Communications, Computer science, business.industry, Color normalization, Balanced histogram thresholding, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Histogram matching, Hardware and Architecture, Computer Science::Computer Vision and Pattern Recognition, Histogram, Night vision, Median filter, Computer vision, Artificial intelligence, business, Algorithm, Histogram equalization, Image histogram |
الوصف: | In allusion to characteristics of low contrast, weak-arrangement gray and dim vision in low-lightlevel night vision image, double-plateaus histogram enhancement algorithm is presented. Firstly, median filter is processed on original image histogram to delete those zero-gray values. By selfadaptive setting double-plateaus thresholds as the upper and lower limit for the processed histogram, the algorithm can enhance the image efficiently. By setting a higher threshold, the algorithm can constrain the background and noises. At the same time, it can magnify dim targets and image details by setting a lower threshold. With the proposed algorithm, disadvantages of classical histogram and other plateaus histogram enhancement algorithm are overcome while achieving high contrast. Experiments prove that the proposed algorithm can enhance image contrast effectively and preserve image details simultaneously. Moreover, it can also overcome over-bright phenomenon. It is an effective enhancement algorithm for low-light-level night vision image. |
تدمد: | 2233-9299 1975-9320 |
الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_________::12f965ad442351975c83400c679197fcTest https://doi.org/10.4156/jcit.vol6.issue1.29Test |
رقم الانضمام: | edsair.doi...........12f965ad442351975c83400c679197fc |
قاعدة البيانات: | OpenAIRE |
تدمد: | 22339299 19759320 |
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