Scholly Fiberoptic Gmbh

Nicole Giessler

Sebastien Weitbruch

Ingo Tobias Doser

Massimo Kubon

Mateusz Cichosz

Jochen Dietrich

Joachim Jauss

Patrick Spring

Andreas Hanselmann

Clemens Meier

Alexander Raiola

In order to improve the noise suppression in a video image streamof a medical image recording system, the video image stream including a sequence of frames, it is provided that an image processing unitof the image recording system analyses the video image streamcontinuously in real time and determines at least one variability between successive image pixels of the frames, for example of spatially adjacent image pixels of frames and/or of image pixels of a plurality of the frames corresponding to one another spatially and temporally, in order, on the basis of the variability determined, to set at least one parameter of a noise suppression subsequently applied to the video image stream. As a result, the noise suppression can be adapted continuously to a current recording situation.

Method for suppressing image noise in a video image stream, and associated medical image recording system and computer program product

An image recording method () and an image recording device () for recording a sequence of single images of a scene () are provided, wherein the scene () is illuminated using an illumination unit (), a light intensity generated by the illumination unit () is characterized by an illumination variable (), a setting of the illumination variable () is performed as long as a regulating reserve () of an optimum regulating range () of the exposure parameter () is present, and a setting of the illumination variable () is performed or repeated until the illumination variable () is within an optimum regulating range () of the illumination variable ().

Image recording method and image recording device

In an image processing method (), for images () in a image sequence (), in each case a position indication () of a center () of the image content () of individual images () is calculated in a completely computer-implemented and/or hardware-implemented, statistical evaluation method (). The center () is defined by a circle section () which is described or characterized by a separation line () between the image content () and a periphery () which is supplementary to the image content () in the image () or complementary therewith.

Image processing method, corresponding image processing apparatus and endoscope arrangement

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Triberg, Germany

Nicole Giessler