Study On Monocular Depth Cue Of Night Vision Images

The color night vision technology is for a monochrome color image or video image processing technology, relying on the difference of the color the between the scene and target recognition. The technology can significantly improve the existing quality of night vision imaging system, and also increase the distance of the night vision system can recognize. The technology has a relatively wide range of applications in both military and civilian aspects. More and more attention has been paid in this technology.Traditional colorization methods for enhancement of night vision images usually do not consider the depth of night vision and sense of space. Consulting the natural colorful images of different scene during the procedure of transferring colors to the night vision usually weakens the space relationship in the night vision image. The human eye can see scenes from the depth of the feeling of depth cues. By studying the depth of night vision monocular image cues, this paper extracts the clues which can make people feel three-dimensional and take these clues as the depth features. Then, based on the basic model with of the random field, this paper will give several algorithms based on this model and BP algorithm is introduced to estimate the depth of the problem, thus improving the accuracy of depth estimation.Finally, this paper which applys the estimation of the depth in the field of the color night vision, introduce a color night vision technology color algorithm based on the monocular depth cue.In this paper, the monocular depth cues of night vision images are investigated. We estimate the depth information of night vision images and use the changes in color hue and saturation to reflect the three-dimensional visual sense of night vision images. The algorithm overcomes the shortage of lack of depth sense of space of night vision images and improves the visual perception of night vision images.