Creat membership Creat membership
Sign in

Forgot password?

Confirm
  • Forgot password?
    Sign Up
  • Confirm
    Sign In
Creat membership Creat membership
Sign in

Forgot password?

Confirm
  • Forgot password?
    Sign Up
  • Confirm
    Sign In
Collection
For ¥0.57 per day, unlimited downloads CREATE MEMBERSHIP Download

toTop

If you have any feedback, Please follow the official account to submit feedback.

Turn on your phone and scan

home > search >

Author:
Allen M Waxman   Alan N Gove   David A Fay   Joseph P Racamato   James E Carrick   Michael C Seibert   Eugene D Savoye  


Journal:
Neural Networks


Issue Date:
1997


Abstract(summary):

We describe here a means of fusing registered low-light visible and thermal infrared (IR) imagery to support realtime color night vision. Opponent processing, in the form of feedforward center-surround shunting neural networks, is used to contrast enhance and adaptively normalize both visible and IR imagery separately. Both positive and negative polarity (ldquoonrdquo and ldquooffrdquo) enhanced IR imagery is then combined with the enhanced visible imagery to create two single-opponent color-contrast grayscale images. The opponent processed visible and opponent-color images (forming a set of three grayscale images) are then assigned directly to the red, green, blue (RGB) color space. Final manipulation of both hue and saturation is achieved in the hue, saturation, value (HSV) color space. Remarkably realistic color renderings of night scenes are obtained which may support perceptual ldquopop-outrdquo of extended navigation cues and compact targets. Psychophysical testing on low contrast targets in natural dynamic scenes is called for in order to assess human performance using fused visible and IR imagery at night


Page:
1-6


VIEW PDF

The preview is over

If you wish to continue, please create your membership or download this.

Create Membership

Similar Literature

Submit Feedback

This function is a member function, members do not limit the number of downloads