US 12,223,629 B2
Systems and methods for smoke-reduction in images
Xiaofang Gan, Shanghai (CN); Zhenhai Zhang, Shanghai (CN); and Zhentao Lu, Shanghai (CN)
Assigned to Covidien LP, Mansfield, MA (US)
Appl. No. 17/641,452
Filed by Covidien LP, Mansfield, MA (US)
PCT Filed Sep. 11, 2019, PCT No. PCT/CN2019/105311
§ 371(c)(1), (2) Date Mar. 9, 2022,
PCT Pub. No. WO2021/046743, PCT Pub. Date Mar. 18, 2021.
Prior Publication US 2022/0392022 A1, Dec. 8, 2022
Int. Cl. G06T 5/73 (2024.01); G06T 7/90 (2017.01)
CPC G06T 5/73 (2024.01) [G06T 7/90 (2017.01); G06T 2207/10024 (2013.01); G06T 2207/10068 (2013.01)] 12 Claims
OG exemplary drawing
 
1. A method for smoke reduction in images comprising:
accessing an RGB image of an object obscured by smoke, the RGB image including a plurality of pixels;
determining a dark channel matrix of the RGB image, where the dark channel matrix includes, for each pixel of the plurality of pixels, a minimum color component intensity for a respective pixel area centered at the respective pixel;
estimating an atmospheric light matrix for the RGB image based on the dark channel matrix, wherein the atmospheric light matrix includes an atmospheric light component value for each of the plurality of pixels;
determining a transmission map based on the atmospheric light matrix and the dark channel matrix;
de-hazing the RGB image based on the transmission map to reduce the smoke in the RGB image, wherein the de-hazing the RGB image includes:
converting the RGB image to a YUV image;
performing a de-hazing operation on the YUV image to provide a Y′UV image, wherein the performing the de-hazing operation on the YUV image includes, for each pixel x of the plurality of pixels:
determining Y′ as

OG Complex Work Unit Math
wherein:
T(x) is a transmission component for the pixel x, and
A(x) is the atmospheric light component value for the pixel x; and
converting the Y′UV image to the de-hazed RGB image; and
displaying the de-hazed RGB image on a display device.