公开(公告)号：US20210312600A1

公开(公告)日：2021-10-07

申请号：US17349346

申请日：2021-06-16

Applicant: BAE Systems Information and Electronic Systems Integration Inc.

Inventor： Derek T. Robison ,  Robin L. Brown ,  Jason V. Irr ,  Gregory W. Sletterink

IPC: G06T5/00 ,  G06T3/40 ,  G06T5/40 ,  G06T5/50

Abstract: Local detail enhancement (LDE) is an imagery contrast enhancement method applied to visible and uncooled long wave imagery. It enhances local spatial detail through the use of a median based high/band pass filter. The generated detail channel is blended with a histogram-equalized version of the image, creating an image that contains both local detail as well as retaining some amount of global intensity. Retaining global intensity coherency allows for easier target acquisition when compared to fully local forms of contrast enhancement.

公开(公告)号：US11574391B2

公开(公告)日：2023-02-07

申请号：US17349346

申请日：2021-06-16

Applicant: BAE Systems Information and Electronic Systems Integration Inc.

Inventor： Derek T. Robison ,  Robin L. Brown ,  Jason V. Irr ,  Gregory W. Sletterink

IPC: G06T5/00 ,  G06T3/40 ,  G06T5/40 ,  G06T5/50

Abstract: Local detail enhancement (LDE) is an imagery contrast enhancement method applied to visible and uncooled long wave imagery. It enhances local spatial detail through the use of a median based high/band pass filter. The generated detail channel is blended with a histogram-equalized version of the image, creating an image that contains both local detail as well as retaining some amount of global intensity. Retaining global intensity coherency allows for easier target acquisition when compared to fully local forms of contrast enhancement.

公开(公告)号：US20200186682A1

公开(公告)日：2020-06-11

申请号：US16210792

申请日：2018-12-05

Applicant: BAE SYSTEMS Information and Electronic Systems Integration Inc.

Inventor： Derek T. Robison ,  Brendan P. Cirillo

IPC: H04N5/217 ,  H04N5/33 ,  G06T7/62 ,  G06T5/00 ,  G06T5/50 ,  F41G1/01 ,  F41G1/02 ,  F41G1/36

Abstract: A system for suppressing sight blooming in an infrared sight includes determining an n×n grid size; creating a grid of n×n averages; calculating a mean; determining if a heat source is detected; detecting a heat source radius; calculating the average of the outside boxes; estimating the average of the inside boxes; setting the source to zero; smoothing the boxes; subtracting the mean of the outside from the mean of the inside; feeding back the result into history; up-sampling the offset; subtracting the offsets; and displaying the image.