Abstract: An image data processing method includes obtaining flight state information of an unmanned aerial vehicle (UAV), selecting a target image processing strategy from a plurality of image processing strategies based on the flight state information, and processing image data obtained by an imaging device carried by the UAV based on the target image processing strategy to obtain processed image data. The plurality of image processing strategies include an image stabilization strategy.

Abstract: A method for image processing includes color correcting an image via a first color mapping process to obtain a color corrected image, and compressing the color corrected image via a second color mapping process to obtain a compressed image.

Abstract: An unmanned aerial vehicle (UAV) includes an audio source collecting microphone detecting a target audio signal, background noise-producing components producing background noise different from the target audio signal, background microphones collecting the background noise, and noise emitters each configured to reduce the background noise by emitting an audio signal having a reverse phase of the collected background noise collected by the corresponding background microphone. The background microphones further collect reduced background noise. The UAV further includes a processor receiving signals which comprise the target audio signal and the reduced background noise, and generating a processed signal based on the collected reduced background noise to reduce interference by the background noise to the target audio signal.

Abstract: An unmanned aerial vehicle (UAV) with audio filtering components includes a background noise-producing component, a background microphone, and a noise emitter. The background noise-producing component is configured to produce a background noise. The background microphone is positioned within a proximity sufficiently close to collect interfering noise from the background noise producing component. The background microphone is configured to collect audio data including the background noise. The noise emitter is disposed within a proximity sufficiently close to the background noise-producing component to reduce the interfering noise. The noise emitter is configured to emit an audio signal having a reverse phase of the audio data collected by the background microphone.

Abstract: An image data processing method includes obtaining flight state information of an unmanned aerial vehicle (UAV), selecting a target image processing strategy from a plurality of image processing strategies based on the flight state information, and processing image data obtained by an imaging device carried by the UAV based on the target image processing strategy to obtain processed image data. The plurality of image processing strategies include an image stabilization strategy.

Abstract: A video encoding method includes receiving a video captured by an image capture device on-board a movable object, where the video includes a video frame component; receiving sensor data from a plurality of sensors on-board the movable object; generating, according to the sensor data, an optical flow field associated with the video frame component; and evaluating motion of the video for video encoding based on the optical flow field.

Abstract: Methods and systems for evaluating a search area for encoding video are provided. The method comprises receiving video captured by an image capture device, the video comprising video frame components. Additionally, the method comprises receiving optical flow field data associated with the video frame component, wherein at least a portion of the optical flow field data is captured by sensors. The method also comprises determining a search area based on the optical flow field data.

Abstract: Provided is a method of correcting a defective pixel of a digital image. In the method, the defective pixels are pre-corrected. The similarities of normal pixels and each defective pixel are calculated. The weight of each normal pixel to each defective pixel is calculated based on the similarities of the normal pixels and each defective pixel. The weight of each normal pixel to each defective pixel is normalized. The normalized weighted values of the normal pixels to each defective pixel are weighted summed to obtain the corrected pixel value of each defective pixel.

Abstract: A method and an apparatus for adjusting installation flatness of a lens in real time are provided. The method comprises: acquiring an image captured by a camera in real time, where the image comprises at least two groups of testing charts regarding different positions; pre-processing the image to obtain each group of testing charts by separation; calculating and displaying, based on each group of testing charts, a real-time resolution value of a camera photosensitive surface to each group of testing charts in real time; and adjusting the installation angle of the optical axis of the camera lens relative to the camera photosensitive surface in real time based on the real-time resolution value of the camera photosensitive surface to each group of testing charts.

Abstract: A method for image processing includes color correcting an image via a first color mapping process to obtain a color corrected image, and compressing the color corrected image via a second color mapping process to obtain a compressed image.

Abstract: A vision system includes two display screens arranged with an acute angle therebetween, a transflective optical component between the two display screens, two polarization optical components, and two optical magnification components coaxial with the two polarization optical components, respectively. Polarization directions of the two polarization optical components are perpendicular to each other. One of the two display screens is parallel to the two polarization optical components, and another one of the two display screens is at a level higher than the two polarization optical components.

Abstract: Provided is a method of correcting a defective pixel of a digital image. In the method, the defective pixels are pre-corrected. The similarities of normal pixels and each defective pixel are calculated. The weight of each normal pixel to each defective pixel is calculated based on the similarities of the normal pixels and each defective pixel. The weight of each normal pixel to each defective pixel is normalized. The normalized weighted values of the normal pixels to each defective pixel are weighted summed to obtain the corrected pixel value of each defective pixel.

Abstract: Provided is a method of correcting a defective pixel of a digital image. In the method, the defective pixels are pre-corrected. The similarities of normal pixels and each defective pixel are calculated. The weight of each normal pixel to each defective pixel is calculated based on the similarities of the normal pixels and each defective pixel. The weight of each normal pixel to each defective pixel is normalized. The normalized weighted values of the normal pixels to each defective pixel are weighted summed to obtain the corrected pixel value of each defective pixel.

Abstract: An unmanned aerial vehicle (UAV) with audio filtering components includes a background noise-producing component, a background microphone, and a noise emitter. The background noise-producing component is configured to produce a background noise. The background microphone is positioned within a proximity sufficiently close to collect interfering noise from the background noise producing component. The background microphone is configured to collect audio data including the background noise. The noise emitter is disposed within a proximity sufficiently close to the background noise-producing component to reduce the interfering noise. The noise emitter is configured to emit an audio signal having a reverse phase of the audio data collected by the background microphone.

Abstract: A UAV is provided to cancel background noise from audio data collected by the UAV. The UAV is provided with one or more background microphones in a proximity of one or more background noise-producing components. The UAV is also provided with one or more audio source collecting microphones. The audio data collected by the background microphones may be used to reduce or cancel interfering background noise from the audio signal detected by the audio source collecting microphone. The target audio may be captured or recorded with little or no background noise.

Abstract: Methods and systems for evaluating a search area for encoding video are provided. The method comprises receiving video captured by an image capture device, the video comprising video frame components. Additionally, the method comprises receiving optical flow field data associated with the video frame component, wherein at least a portion of the optical flow field data is captured by sensors. The method also comprises determining a search area based on the optical flow field data.

Abstract: A method and an apparatus for adjusting installation flatness of a lens in real time are provided. The method comprises: acquiring an image captured by a camera in real time, where the image comprises at least two groups of testing charts regarding different positions; pre-processing the image to obtain each group of testing charts by separation; calculating and displaying, based on each group of testing charts, a real-time resolution value of a camera photosensitive surface to each group of testing charts in real time; and adjusting the installation angle of the optical axis of the camera lens relative to the camera photosensitive surface in real time based on the real-time resolution value of the camera photosensitive surface to each group of testing charts.

Abstract: Provided is a method of correcting a defective pixel of a digital image. In the method, the defective pixels are pre-corrected. The similarities of normal pixels and each defective pixel are calculated. The weight of each normal pixel to each defective pixel is calculated based on the similarities of the normal pixels and each defective pixel. The weight of each normal pixel to each defective pixel is normalized. The normalized weighted values of the normal pixels to each defective pixel are weighted summed to obtain the corrected pixel value of each defective pixel.

Abstract: A UAV is provided to cancel background noise from audio data collected by the UAV. The UAV is provided with one or more background microphones in a proximity of one or more background noise-producing components. The UAV is also provided with one or more audio source collecting microphones. The audio data collected by the background microphones may be used to reduce or cancel interfering background noise from the audio signal detected by the audio source collecting microphone. The target audio may be captured or recorded with little or no background noise.