Chinese Optics Letters, 2009, 7 (5): 05396, Published Online: May. 22, 2009   

Coloring night vision imagery for depth perception Download: 520次

Author Affiliations
Automation Department, College of Information Science and Technology, Dong Hua University, Shanghai 200051, ChinaE-mail: gxj@mail.dhu.edu.cn
Abstract
Depth perception for night vision (NV) imagery could largely improve scene comprehension. We present a novel scheme to give fused multi-band NV imagery smoothly natural color appearance as well as depth sense from color. Our approach is based on simulating color cues by varying saturation values of each object in the color NV image, in correspondence with the ratio between the infrared and low-light-level sensor outputs which in practice is the depth feature for same materials. We render the NV image segment-by-segment by taking advantage of image segmentation, dominant color transfer, saturation variation, and image fusion. Experiments have shown that the proposed scheme can achieve satisfying results.

Xiaojing Gu, Shaoyuan Sun, Jian’an Fang. Coloring night vision imagery for depth perception[J]. Chinese Optics Letters, 2009, 7(5): 05396.

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