Axis Ab

Johan Förberg

Song Yuan

Johan Nyström

Hampus Linse

Viktor Edpalm

Toivo Henningsson

Tor Nilsson

Viktors Jakovels

Viktor Yakovel

A method for determining a lens distortion correction comprising:

Method and image-processing device for determining a lens distortion correction for an interchangeable camera lens

A method for image stabilization of a video stream captured by a panable and/or tiltable video camera the method comprising: generating a motor position signal, Y, of a pan/tilt motor of the video camera; generating a gyro signal, Y, of a gyroscopic sensor of the video camera; generating a reference signal from a predetermined movement curve of the pan/tilt motor of the video camera, the reference signal is a reference on how a pan/tilt operation of the video camera is made without shaking of the video camera; from the motor position signal, Y, and the gyro signal, Y, generating a combined signal, Y, according to: Y=F*Y+F*Y, wherein Fis a low pass filter and Fis a high pass filter; and performing image stabilization on the video stream based on a difference between the combined signal, Y, and the reference signal.

Image stabilization of a video stream captured by a panable and/or tiltable video camera

A method for detecting an object in a first distorted image using a sliding window algorithm, comprising: receiving an inverse of a mathematical representation of a distortion of the first distorted image; wherein the detection of an object comprises sliding a sliding window over the first distorted image, the sliding window comprising a feature detection pattern, and for each position of a plurality of positions in the first distorted image: transforming the sliding window based on the inverse of the mathematical representation of the distortion at the position, wherein the step of transforming the sliding window comprises transforming the feature detection pattern of the sliding window such that a resulting distortion of the feature detection pattern of the transformed sliding window corresponds to the distortion of the first distorted image at the position; and using the transformed sliding window comprising the transformed feature detection pattern in the sliding window algorithm.

Method, system, and device for detecting an object in a distorted image

A digital camera and a method for aligning digital images comprising: receiving images including first and second images depicting a first and a second region of a scene, the regions being overlapping and displaced along a first direction; aligning the images using a transformation; determining disparity values for an overlap between the images; identifying misalignments by identifying blocks of pixels in the first image having a same position along a second direction and having disparity values exhibiting a variability lower than a first threshold and exhibiting an average higher than a second threshold; adjusting the transformation for the identified blocks of pixels in the first image and their matching blocks of pixels in the second image; and realigning the images using the adjusted transformation.

Aligning digital images

Image encoding within a pixelated privacy mask area is adapted in order to reduce flickering during movement of a camera. Motion vectors are set equal to the movement of the camera, and residuals are set to zero, thereby encoding pixel blocks within the privacy mask area as copies of corresponding pixel blocks in a reference image.

Method of encoding an image including a privacy mask

Display screen or portion thereof with graphical user interface

A system and method for electronic image stabilization for a high dynamic range image captured by a rolling shutter image sensor and more specifically to an algorithm configured to perform electronic image stabilization on the high dynamic range image, by, for each specific block of pixels among the blocks of pixels in the high dynamic range image, the specific block of pixels spatially corresponding to a pixel region of the rolling shutter image sensor, determining whether the specific block of pixels is copied from pixel data of the first image or the second image, or is a blend of pixel data from both the first image and the second image, and use motion data measured when capturing the first and second images for performing electronic image stabilization based on the origin of the specific block of pixels.

Method, device, camera and software for performing electronic image stabilization of a high dynamic range image

A video processing comprises a video image processing pipeline and an encoder. The video image processing pipeline is processes images of captured video data and comprises: an image stream forming function which generates a first and second image streams each comprising a plurality of image frames, and an image stabilization function for image stabilizing the first image stream, thereby forming a stabilized image stream. The image stream forming function bypasses the second image stream from the image stabilization function, thereby forming an original image stream. The encoder encodes the stabilized image stream and the original image stream as a joint encoded image stream comprising encoded frames based on images frames from both the stabilized \the original image streams, wherein the joint encoded image stream comprises intra and inter frames, and wherein the intra frames are exclusively encoded based on image frames of the original image stream.

Growing community of inventors

Lund, Sweden

Johan Förberg