A method performed under control of a storage manager may include identifying a subject of an image; determining a resolution value for the image based, at least in part, on the identified subject; and modifying a resolution of the image in accordance with the determined resolution value.

In a projected architecture system, a mobile device may be responsible for providing the video that is displayed on a vehicle's infotainment system's display. The resolution and/or aspect ratio of the remote display may not be supported by the mobile device. An encoder, based on the display resolution, may render one or more video frames that a decoder coupled to the infotainment system can scale to a resolution compatible with the remote display.

Known methods for generating super-resolved images from single input images have various disadvantages. An improved method for generating a super-resolved image from a single low-resolution input image comprises up-scaling the input image to generate an initial version of the super-resolved image, searching, for each patch of the low-resolution input image, similar low-resolution patches in first search windows within down-sampled versions of the input image, and determining, in less down-sampled versions of the input image, high-resolution patches that correspond to the similar low-resolution patches. The determined high-resolution patches are cropped, a second search window is determined in the initial version of the super-resolved image, and a best-matching position for each cropped high-resolution patch is searched within the second search window. Finally, each cropped high-resolution patch is added to the super-resolved image at its respective best-matching position.

A system having a resource-availability module configured to cause the processing unit to determine whether a resource scarcity condition exists in connection with providing map data to a mobile navigation unit. The system also includes a tuning-parameter module configured to cause the processing unit to, in response to determining that the resource scarcity condition exists, determine a tuning parameter to use in preparing map data to provide to the mobile navigation unit. The system further includes an encoding module configured to cause the processing unit to encode map data based on the tuning parameter, and a map-data-delivery module configured to cause the processing unit to provide or make available the encoded map data to the mobile navigation unit.

Systems, apparatuses, and methods may provide for technology to process multi-resolution images by identifying pixels at a boundary between pixels of different resolutions, and selectively smoothing the identified pixels.

The present invention provides a full-screen display method for an upright image that includes the following steps: reading the resolution of the second image, the resolution of the second image is a:b; extracting from the said second image to generate the third image, the resolution of the third image is b:a; the center line of the second image and of the third image coincide in both the horizontal and vertical directions; the number of pixels of the second image in the vertical direction is the same as that of the third image in the vertical direction; rotating the third image by 90 degrees along the set direction generates the fourth image; and finally displaying the fourth image full-screen on the said display device. The present invention also provides the mirroring same-screen device, the display device, the full-screen display system for upright images, and the computer readable storage medium to perform the previous steps of the full-screen display method for upright images. Compared with related technologies, the technical scheme of the present invention can realize the full-screen display of an upright image with excellent user experience.

Provided is a method of adaptively performing artificial intelligence (AI) downscaling on an image during a video telephone call of a user terminal. The method includes obtaining, from an opposite user terminal, AI upscaling support information of the opposite user terminal that is a target of a video telephone call, determining whether the user terminal is to perform AI downscaling on an original image, based on the AI upscaling support information, based on determining that the user terminal is to perform AI downscaling on the original image, obtaining a first image by AI downscaling the original image using a downscaling deep neural network (DNN), generating image data by performing first encoding on the first image, and transmitting AI data including information related to the AI downscaling and the image data.

A head-mountable display (HMD) system includes at least one detector to detect movement of an eye of a user wearing the HMD, control circuitry to detect saccadic movement of the eye in dependence upon the detected movement of the eye, a display unit and a processor to generate images for display to the user by the display unit, in which the control circuitry is configured to control the processor in response to the detected saccadic movement, in which the control circuitry is configured to control the processor to adjust one or more image quality parameters for one or more of the images to be displayed by the display unit during the detected saccadic movement.

Embodiments provide techniques for rendering augmented reality effects on an image of a user's face in real time. The method generally includes receiving an image of a face of a user. A global facial depth map and a luminance map are generated based on the captured image. The captured image is segmented into a plurality of segments. For each segment in the plurality of segments, a displacement energy of the respective segment is minimized using a least square minimization of a linear system for the respective segment. The displacement energy is generally defined by a relationship between a detailed depth map, the global facial depth map and the luminance map. The detailed depth map is generated based on the minimized displacement energy for each segment in the plurality of segments. One or more visual effects are rendered over the captured image using the generated detailed depth map.

A method for controlling an electronic device is provided. The method includes obtaining an intermediate image by preprocessing an original image, obtaining a saliency feature map of the intermediate image by performing semantic saliency analysis on the intermediate image, performing adaptability calculation according to the saliency feature map and a retargeted target equipment condition, and determining a retargeting mode of the original image according to the result of the adaptability calculation, and performing retargeting processing on the original image according to the determined mode.