公开(公告)号：US20210243338A1

公开(公告)日：2021-08-05

申请号：US17237833

申请日：2021-04-22

申请人： Adasky, Ltd.

发明人： Oleg KUYBEDA ,  Eyal MADAR ,  Assaf WEISSMAN

IPC分类号： H04N5/217 ,  H04N5/33 ,  G06T7/00 ,  G06T5/00 ,  H04N5/359

摘要： A system and method for correcting oversaturated pixels in far-infrared (FIR) images captured by a shutterless FIR camera, the method comprising: capturing thermal images by a FIR sensor in the shutterless FIR camera; processing the thermal images, by the shutterless FIR camera to determine pixel value and at least a shutterless sunburn correction, wherein the shutterless sunburn correction removes oversaturated pixels based on pixel-by-pixel analysis of the thermal image; and sending the processed thermal images to an output device.

公开(公告)号：US20190020791A1

公开(公告)日：2019-01-17

申请号：US16117525

申请日：2018-08-30

申请人： Adasky, Ltd.

发明人： Oleg KUYBEDA ,  Eyal MADAR ,  Assaf WEISSMAN

IPC分类号： H04N5/217 ,  H04N5/33 ,  G06T7/00 ,  G06T5/00

摘要： A system and method for correcting oversaturated pixels in far-infrared (FIR) images captured by a shutterless FIR camera. The method includes identifying oversaturated pixels based on a pixel value analysis of an input image; creating an oversaturated pixel mask of the input image, where the oversaturated pixel mask includes the identified oversaturated pixels and excludes pixels not identified as oversaturated pixels; and correcting the oversaturated pixels of the current image using the oversaturated pixel mask, based on a scene-based nonuniformity correction (SBNC).

公开(公告)号：US20190005625A1

公开(公告)日：2019-01-03

申请号：US16058643

申请日：2018-08-08

申请人： Adasky, Ltd.

发明人： Oleg KUYBEDA ,  Eyal MADAR ,  Assaf WEISSMAN

IPC分类号： G06T5/00 ,  G06T7/20 ,  G06T7/00 ,  H04N5/33

CPC分类号： G06T5/003 ,  G06T5/002 ,  G06T7/0002 ,  G06T7/20 ,  G06T7/254 ,  G06T2207/10048 ,  G06T2207/20208 ,  H04N5/33 ,  H04N5/3656

摘要： A system and method for correcting nonuniformity in far-infrared (FIR) images captured by a shutterless FIR camera. The method includes determining a noise of a current image based on updating a noise estimate of a previous image with a noise estimate of a current image; determining a weight mask matrix of the current image, where the weight matrix includes high values corresponding to pixels of the current image in which noise estimation is facilitated, and low values corresponding to pixels of the current image in which noise estimation is inhibited; applying the weight mask matrix to the current image; and correcting the nonuniformity of the current image incrementally based on the determined noise of current image and the applied weight mask matrix.