Abstract: The invention relates to a method and an actuator system for determining and applying a voltage to a piezoelectric actuator (PEA) to achieve a given setpoint displacement. The method involves determining a relation dcal(V) between a PEA displacement measure (d) and voltage (V) and a relation ttcal(V) between transition time (tt) and voltage and combining the determined relations to calculate a relation d(tt) between the displacement measure and transition time during an initial calibration procedure. This relation is characteristic for the PEA, and by determining a new relation ttnew(V) after repeated biasing of the PEA, a compensated relation dc(V) can be calculated by substituting ttnew(V) in the calculated d(tt). The compensated relation dc(V) compensates for piezo creep effects due to the wear and can be used to determine the voltage to be applied directly, or be used in other compensation algorithms.

Abstract: The invention relates to a method and an actuator system for determining and applying a voltage to a piezoelectric actuator (PEA) to achieve a given setpoint displacement. The method involves determining a relation dcal(V) between a PEA displacement measure (d) and voltage (V) and a relation ttcal(V) between transition time (tt) and voltage and combining the determined relations to calculate a relation d(tt) between the displacement measure and transition time during an initial calibration procedure. This relation is characteristic for the PEA, and by determining a new relation ttnew(V) after repeated biasing of the PEA, a compensated relation dc(V) can be calculated by substituting ttnew(V) in the calculated d(tt). The compensated relation dc(V) compensates for piezo creep effects due to the wear and can be used to determine the voltage to be applied directly, or be used in other compensation algorithms.

Abstract: The invention relates to a method and an actuator system for determining and applying a voltage to a piezoelectric actuator (PEA) to achieve a given setpoint displacement. The method involves determining a relation dcal(V) between a PEA displacement measure (d) and voltage (V) and a relation ttcal(V) between transition time (tt) and voltage and combining the determined relations to calculate a relation d(tt) between the displacement measure and transition time during an initial calibration procedure. This relation is characteristic for the PEA, and by determining a new relation ttnew(V) after repeated biasing of the PEA, a compensated relation dc(V) can be calculated by substituting ttnew(V) in the calculated d(tt). The compensated relation dc(V) compensates for piezo creep effects due to the wear and can be used to determine the voltage to be applied directly, or be used in other compensation algorithms.

Abstract: According to an aspect, there is provided an apparatus comprising at least one processor and at least one memory connected to the at least one processor. The at least one memory stores program instructions that, when executed by the at least one processor, cause the apparatus to determine based on at least one indicator that a camera connected to the apparatus is in a dark environment, initiate a calibration sequence of the camera in response to determining based on the at least one indicator that the camera connected to the apparatus is in a dark environment, capture, during the calibration sequence, multiple images with the camera with different sets of shooting parameters, cause analysis of the captured images to obtain camera calibration data, and store the camera calibration data in a memory of the apparatus.

Abstract: According to an aspect, there is provided an apparatus comprising at least one processor and at least one memory connected to the at least one processor. The at least one memory stores program instructions that, when executed by the at least one processor, cause the apparatus to determine based on at least one indicator that a camera connected to the apparatus is in a dark environment, initiate a calibration sequence of the camera in response to determining based on the at least one indicator that the camera connected to the apparatus is in a dark environment, capture, during the calibration sequence, multiple images with the camera with different sets of shooting parameters, cause analysis of the captured images to obtain camera calibration data, and store the camera calibration data in a memory of the apparatus.

Abstract: In one example, digital image frames are accessed, each of the digital image frames having an associated control value for an automatic image capture processing function. A measure of information content change is determined for a current digital image frame relative to at least one previous digital image frame. A measure of information content reliability with respect to the automatic image capture processing function is determined for the current digital image frame. The control value associated with the current digital image frame is corrected based on the determined measure of information content change and the determined measure of information content reliability. A final control value for the automatic image capture processing function is output based on corrected control values for one or more digital image frames.

Abstract: In one example, digital image frames are accessed, each of the digital image frames having an associated control value for an automatic image capture processing function. A measure of information content change is determined for a current digital image frame relative to at least one previous digital image frame. A measure of information content reliability with respect to the automatic image capture processing function is determined for the current digital image frame. The control value associated with the current digital image frame is corrected based on the determined measure of information content change and the determined measure of information content reliability. A final control value for the automatic image capture processing function is output based on corrected control values for one or more digital image frames.

Abstract: A device and a method for estimating gray point in digital image frames are disclosed. The method includes obtaining a digital image frame and determining red-green-blue (RGB) values for each pixel in at least a part of the digital image frame. The method further includes calculating a first component value and a second component value in a pre-determined color space for said each pixel, where the first component value and the second component value are calculated from the RGB values for said each pixel. The method further includes determining a two-dimensional (2-D) distribution based on the first component value and the second component value for said each pixel. Thereafter, the method includes identifying one or more saturated color clusters in the 2-D distribution, and analyzing the one or more saturated color clusters to estimate a gray point for at least the part of the digital image frame.

Abstract: A device and a method for dynamically correcting camera module sensitivity variation using face data are disclosed. The method includes accessing a digital image frame of a scene where the digital image frame originates from a camera module. In response to detection of a face area in the digital image frame, a face chromaticity is calculated from the face area detected in the digital image frame by a processor. The method further includes determining a lighting condition at the scene associated with the digital image frame. Further, the method includes comparing the face chromaticity with a reference face chromaticity associated with the lighting condition to determine a chromaticity gain shift. Thereafter, the method includes correcting a gray point curve of the camera module based on the chromaticity gain shift to obtain a corrected gray point curve of the camera module.

Abstract: A device and a method for dynamically correcting camera module sensitivity variation using face data are disclosed. The method includes accessing a digital image frame of a scene where the digital image frame originates from a camera module. In response to detection of a face area in the digital image frame, a face chromaticity is calculated from the face area detected in the digital image frame by a processor. The method further includes determining a lighting condition at the scene associated with the digital image frame. Further, the method includes comparing the face chromaticity with a reference face chromaticity associated with the lighting condition to determine a chromaticity gain shift. Thereafter, the method includes correcting a gray point curve of the camera module based on the chromaticity gain shift to obtain a corrected gray point curve of the camera module.

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.