Double-plateaus Histogram Enhancement Algorithm for Low-light-level Night Vision Image

التفاصيل البيبلوغرافية
العنوان: Double-plateaus Histogram Enhancement Algorithm for Low-light-level Night Vision Image
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