Axis Ab

Johan Jeppsson

Björn Benderius

Sebastian Fors

Johan Nyström

Jimmie Jönsson

Niclas Svensson

Anton Öhrn

Dennis Nilsson

Andreas Muhrbeck

Fritjof Jonsson

Karin Dammer

Jonas Levin

Stefan Lindgren

A method for determining whether a video camera is out-of-focus comprises: capturing image data; setting a focus setting difference threshold based on a filter function configured to filter the image data; adjusting a focus setting between a present focus setting and an altered focus setting such that a first subset of the image data is captured with the video camera being set in the present focus setting and such that a second subset of the image data is captured with the video camera being set in the altered focus setting, wherein the adjusting is performed such that a difference between the present and altered focus settings is below the threshold; forming the video stream by applying the filter function on the image data; determining first and second focus metrics of the image data; and determining whether the video camera is out-of-focus by comparing the first and second focus metrics.

Determining whether a camera is out-of-focus

A method of reducing purple fringing in images captured by a camera, comprises: acquiring a raw image of a scene with an image sensor of the camera, demosaicing the raw image, and applying an adjusted color correction matrix to the demosaiced raw image. The adjusted color correction matrix is deduced by calibrating the spectral response of the image sensor to a color rendition chart to which the color data of a purple fringe has been added, and furthermore the color correction matrix is adjusted such that the image sensor response for color values of the purple fringe is transformed into color values of a predetermined replacement color following application of the color correction matrix.

Method of reducing purple fringing in images

A method and a digital video camera for reducing intensity variations in a video stream depicting a scene comprising capturing, using a first sensor setting, a first frame; detecting a change in intensity in a portion of the first frame, the portion represents a first area of the scene; determining a second sensor setting based on the first frame; capturing, using the second sensor setting, a second frame; creating a local tone mapping mask, wherein a local tone mapping in the first area of the scene is different from a local tone mapping in an area outside the first area, and wherein the local tone mapping in the area outside the first area is based on a relation between the first sensor setting and the second sensor setting; and applying the local tone mapping mask to the second frame.

Method for reducing intensity variations in a video image stream depicting a scene

A method for determining a local contrast value for a digital image captured by an image sensor in a camera comprising: applying an edge detection algorithm to image data of the digital image, thereby obtaining a data set pertaining to edges in the digital image; calculating, based on said data set, an edge occurrence value for the digital image; estimating, based on image data of the digital image and a noise model of the image sensor, an estimated image sensor noise for the digital image; and computing the local contrast value as a relationship between the edge occurrence value of the digital image and the expected edge occurrence value for the digital image. A method for adjusting a focus setting of a camera using the local contrast value for images captured by the camera.

Determination of a contrast value for a digital image

Growing community of inventors

Lund, Sweden

Johan Jeppsson