Night Vision Image Enhancement Based on Double-Plateaus Histogram

Night vision image has characteristics of low contrast, weak-arrangement gray and dim vision. Double-plateaus histogram enhancement algorithm is presented to enhance them. By setting a higher threshold value, the algorithm can constrain the background and noises. At the same time, the algorithm can magnify dim targets and image details by setting a lower threshold value. 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.