A hanging type switchable anti-peeping device, removably hung on a displaying screen for an anti-peeping effect, includes two conductive layers, a displaying medium layer, and a drive unit. The displaying medium layer is between the conductive layers. The drive unit is electrically connected with the conductive layers. The drive unit provides a driving voltage between the conductive layers for driving the displaying medium layer to change the light permeability. At least one conductive layer has hollow portions arranged at intervals, forming a grille structure with a plurality of division portions. With the hollow portions arranged at intervals, during the lightening of the display screen, the transmittance of the hollow portions is higher than that of the division portions, improving the transmittance of the conductive layer. Thus, with the anti-peeping device hung on the displaying screen, the screen brightness would not decrease.

A hanging type switchable anti-peeping device, removably hung on a displaying screen for an anti-peeping effect, includes two conductive layers, a displaying medium layer, and a drive unit. The displaying medium layer is between the conductive layers. The drive unit is electrically connected with the conductive layers. The drive unit provides a driving voltage between the conductive layers for driving the displaying medium layer to change the light permeability. At least one conductive layer has hollow portions arranged at intervals, forming a grille structure with a plurality of division portions. With the hollow portions arranged at intervals, during the lightening of the display screen, the transmittance of the hollow portions is higher than that of the division portions, improving the transmittance of the conductive layer. Thus, with the anti-peeping device hung on the displaying screen, the screen brightness would not decrease.

There are provided systems and methods for digital image filtering and post-capture processing using user specific data. A computing device may include a camera that records media of a scene, including images or videos. A user may utilize the computing device to add filters, graphical overlays, or other effects to the recorded media, which may alter pixel data for pixels of the media or blend graphics into the media. When adding image effects to images, the device or a service provider that offers and image hosting and/or sharing platform may determine recommendations for particular image effects to use when recording and processing the image. The recommended effects may be based on effects used in past media, as well as user information, and may change an appearance of the output media in a particular way specific to the user, media, and/or scene.

There are provided systems and methods for digital image filtering and post-capture processing using user specific data. A computing device may include a camera that records media of a scene, including images or videos. A user may utilize the computing device to add filters, graphical overlays, or other effects to the recorded media, which may alter pixel data for pixels of the media or blend graphics into the media. When adding image effects to images, the device or a service provider that offers and image hosting and/or sharing platform may determine recommendations for particular image effects to use when recording and processing the image. The recommended effects may be based on effects used in past media, as well as user information, and may change an appearance of the output media in a particular way specific to the user, media, and/or scene.

The present disclosure provides an image stabilization method. The method includes acquiring a frame of an image to be stabilized and a related exposure time; acquiring first attitude data before the exposure time and second attitude data after the exposure time, wherein the number of the first attitude data is one or more, and the number of the second attitude data is one or more; acquiring a target attitude corresponding to the exposure time based on the first attitude data and the second attitude data; and obtaining a stabilized target image by stabilizing the image to be stabilized according to the target attitude.

The present disclosure provides an image stabilization method. The method includes acquiring a frame of an image to be stabilized and a related exposure time; acquiring first attitude data before the exposure time and second attitude data after the exposure time, wherein the number of the first attitude data is one or more, and the number of the second attitude data is one or more; acquiring a target attitude corresponding to the exposure time based on the first attitude data and the second attitude data; and obtaining a stabilized target image by stabilizing the image to be stabilized according to the target attitude.

The present disclosure provides an image stabilization method. The method includes acquiring a frame of an image to be stabilized and a related exposure time; acquiring first attitude data before the exposure time and second attitude data after the exposure time, wherein the number of the first attitude data is one or more, and the number of the second attitude data is one or more; acquiring a target attitude corresponding to the exposure time based on the first attitude data and the second attitude data; and obtaining a stabilized target image by stabilizing the image to be stabilized according to the target attitude.

The present disclosure provides an image stabilization method. The method includes acquiring a frame of an image to be stabilized and a related exposure time; acquiring first attitude data before the exposure time and second attitude data after the exposure time, wherein the number of the first attitude data is one or more, and the number of the second attitude data is one or more; acquiring a target attitude corresponding to the exposure time based on the first attitude data and the second attitude data; and obtaining a stabilized target image by stabilizing the image to be stabilized according to the target attitude.

A high dynamic range image sensors enabled by integrating broadband optical filters with individual sensor pixels of a pixel array. The broadband optical filters are formed of engineered micro or nanostructures that exhibit large differences in transmittance, e.g. up to 5 to 7 orders of magnitude. Such high transmittance difference can be achieved by using a single layer of individually designed filters, which show varied transmittance as a result of the distinct absorption of various material and structures. The high transmittance difference can also be achieved by controlling the polarization of light and using polarization-sensitive structures as filters. With the presence of properly designed integrated nanostructures, broadband transmission spectrum with transmittance spanning several orders of magnitude can be achieved. This enables design and manufacturing of image sensors with high dynamic range which is crucial for applications including autonomous driving and surveillance.

A high dynamic range image sensors enabled by integrating broadband optical filters with individual sensor pixels of a pixel array. The broadband optical filters are formed of engineered micro or nanostructures that exhibit large differences in transmittance, e.g. up to 5 to 7 orders of magnitude. Such high transmittance difference can be achieved by using a single layer of individually designed filters, which show varied transmittance as a result of the distinct absorption of various material and structures. The high transmittance difference can also be achieved by controlling the polarization of light and using polarization-sensitive structures as filters. With the presence of properly designed integrated nanostructures, broadband transmission spectrum with transmittance spanning several orders of magnitude can be achieved. This enables design and manufacturing of image sensors with high dynamic range which is crucial for applications including autonomous driving and surveillance.