Abstract: Provided is a method and a device for correcting lateral chromatic aberration, a storage medium and a computer equipment. The method includes acquiring system parameters and pre-stored calibration data, obtaining the lateral chromatic aberration of a camera to be corrected by calculating the system parameters, and correcting the LCA by the calibration data. The lateral chromatic aberration of the camera lens may be corrected in terms of hardware and costs are saved.

Abstract: Provided is a method and a device for correcting lateral chromatic aberration, a storage medium and a computer equipment. In the method, a relationship model between lens position and magnitude of LCA is constructed based on preset parameters of lens positions, and the relationship model is stored as calibration data; system parameters of a camera to be corrected and pre-stored calibration data are obtained; the LCA of the camera to be corrected is obtained by calculating the system parameters; and the LCA is corrected by the calibration data. With the method, the LCA of the lens can be removed when the focus distance is changed, and the method is suitable for mass-production.

Abstract: Provided is a method and a device for correcting lateral chromatic aberration, a storage medium and a computer equipment. In the method, a relationship model between lens position and magnitude of LCA is constructed based on preset parameters of lens positions, and the relationship model is stored as calibration data; system parameters of a camera to be corrected and pre-stored calibration data are obtained; the LCA of the camera to be corrected is obtained by calculating the system parameters; and the LCA is corrected by the calibration data. With the method, the LCA of the lens can be removed when the focus distance is changed, and the method is suitable for mass-production.

Abstract: Provided is a method and a device for correcting lateral chromatic aberration, a storage medium and a computer equipment. The method includes acquiring system parameters and pre-stored calibration data, obtaining the lateral chromatic aberration of a camera to be corrected by calculating the system parameters, and correcting the LCA by the calibration data. The lateral chromatic aberration of the camera lens may be corrected in terms of hardware and costs are saved.

Abstract: A mobile apparatus is described. When the mobile apparatus is in a locked state and a user is detected, the user is authenticated automatically on background using a primary biometric authentication method. In response to authenticating the user automatically on background, the locked state of the mobile apparatus is opened, and a screen relating to the locked state on a display is provided although the locked state has been opened.

Abstract: In one example, a plurality of image frames captured by a digital camera unit is received. It is determined that a condition is met that requires a switch between image capture states. In response, automatic adjustment of at least one image capture parameter without user input is enabled or disabled.

Abstract: In one example, a plurality of image frames captured by a digital camera unit is received. It is determined that a condition is met that requires a switch between image capture states. In response, automatic adjustment of at least one image capture parameter without user input is enabled or disabled.

Abstract: In one example, a plurality of image frames captured by a digital camera unit is received. It is determined that a condition is met that requires a switch between image capture states. In response, automatic adjustment of at least one image capture parameter without user input is enabled or disabled.

Abstract: A method for compressing images includes identifying a set of image blocks from a plurality of digital images. For each image block from the set, image features of the image block are extracted. The set of image blocks is sorted into an ordered sequence of image blocks based on an average image feature difference between sequentially sorted image blocks. The set of image blocks is compressed into compressed image data based on inter block correlations between image blocks in the ordered sequence.

Abstract: An apparatus is described. In an embodiment, the apparatus comprises an illumination unit configured to simultaneously illuminate a first portion of a scene with unstructured light and a second portion of the scene with structured light. The apparatus further comprises a digital image capture unit configured to capture at least one image frame of the illuminated scene.

Abstract: An apparatus including an image sensor configured to capture an image and optics, wherein the image sensor and optics align along an optical axis; optical image stabilization circuitry configured to determine and apply a target optical adjustment to compensate during capture of an image, for movement of the optical axis as a consequence of detected movement of the apparatus; post-capture image stabilization circuitry configured to process the captured image using a residual optical adjustment to obtain a compensated captured image, wherein the residual optical adjustment depends upon a difference between a measured optical adjustment, achieved during capture of the image, and the determined target optical adjustment.

Abstract: A method for compressing images includes identifying a set of image blocks from a plurality of digital images. For each image block from the set, image features of the image block are extracted. The set of image blocks is sorted into an ordered sequence of image blocks based on an average image feature difference between sequentially sorted image blocks. The set of image blocks is compressed into compressed image data based on inter block correlations between image blocks in the ordered sequence.

Abstract: The user calls to the mobile device with a predetermined pattern. In one embodiment the predetermined pattern is coded on the duration of the unanswered calls and the duration between successive calls. The predetermined pattern may be time coded on the durations of successive calls. After detecting the predetermined pattern the mobile device answers the incoming call. The user may continue by identifying via the voice line, if that is required. The mobile device responds to commands provided via the voice line, for example by providing contact information as synthesized speech.

Abstract: The Figures illustrate an apparatus, method, computer program and apparatus wherein the method includes detecting an input; and in response to detecting the input, causing an image capturing apparatus to capture a plurality of images; wherein the image capturing apparatus is configured to have a first set of parameters to capture a first subset of the plurality of images such that the first subset of the plurality of images are configured for use with a first image processing algorithm and the image capturing apparatus is configured to have a second set of parameters to capture a second subset of the plurality of images such that the second subset of the plurality of images are configured for use with a second image processing algorithm.

Abstract: A camera has known parameters that affect image distortions. Different shutters or different image sensor scanning procedures lead to the image having parts that are recorded at different moments. An object in motion may be recorded in different positions, which is usually seen as a distortion effect in the image. Detecting the object in the partial images in different positions enables the calculation of the position difference between two moments. As the time difference is known from the camera parameters, several kinematic quantities relating to the object may be calculated. Examples of the kinematic quantities are speed, velocity, angular velocity, acceleration and angular acceleration.

Abstract: An apparatus is described. In an embodiment, the apparatus comprises an illumination unit configured to simultaneously illuminate a first portion of a scene with unstructured light and a second portion of the scene with structured light. The apparatus further comprises a digital image capture unit configured to capture at least one image frame of the illuminated scene.

Abstract: In one example, a plurality of image frames captured by a digital camera unit is received. It is determined that a condition is met that requires a switch between image capture states. In response, automatic adjustment of at least one image capture parameter without user input is enabled or disabled.

Abstract: A mobile apparatus is described. When the mobile apparatus is in a locked state and a user is detected, the user is authenticated automatically on background using a primary biometric authentication method. In response to authenticating the user automatically on background, the locked state of the mobile apparatus is opened, and a screen relating to the locked state on a display is provided although the locked state has been opened.

Abstract: The application concerns a method and a technical equipment for multiframe capturing. In the method a level of motion in a target to be captured is determined (402); capture parameters to be used in multiple frame capture of the target are adapted according to the determined level of motion (405); and the multiple frame capture is performed with the capture parameters (410). The application also concerns an apparatus and computer program.

Abstract: Determining an amount of motion in a second frame of video with reference to a first frame of video. Adaptively predicting a cropping factor for the second frame in response to the determined amount of motion. The cropping factor specifies a portion of the second frame that is to be excluded from the second frame. The predicted cropping factor is adaptively changed for a successive plurality of frames by buffering the first frame to predict a desired cropping factor for the second frame, wherein the first frame occurs prior to the second frame.