Abstract: A camera-based localization system is provided. The camera-based localization system may assist an unmanned vehicle to continue its operation in a GPS-denied environment with minimal increase in vehicular cost and payload. In one aspect, a method, a computer-readable medium, and an apparatus for localization via visual inertial odometry are provided. The apparatus may construct an optical flow based on feature points across a first video frame and a second video frame captured by a camera of the apparatus. The apparatus may refine the angular velocity and the linear velocity corresponding to the second video frame via solving a quadratic optimization problem constructed based on the optical flow, the initial values of the angular velocity and the linear velocity corresponding to the second video frame. The apparatus may estimate the pose of the apparatus based on the refined angular velocity and the refined linear velocity.

Abstract: A camera-based localization system is provided. The camera-based localization system may assist an unmanned vehicle to continue its operation in a GPS-denied environment with minimal increase in vehicular cost and payload. In one aspect, a method, a computer-readable medium, and an apparatus for localization via visual inertial odometry are provided. The apparatus may construct an optical flow based on feature points across a first video frame and a second video frame captured by a camera of the apparatus. The apparatus may refine the angular velocity and the linear velocity corresponding to the second video frame via solving a quadratic optimization problem constructed based on the optical flow, the initial values of the angular velocity and the linear velocity corresponding to the second video frame. The apparatus may estimate the pose of the apparatus based on the refined angular velocity and the refined linear velocity.

Abstract: According to various embodiments, an image processing device may be provided. The image processing device may include: an input circuit configured to receive input image data including pixels related to varying exposure times; an interpolation circuit configured to determine an output image based on an interpolation based on the input image data; and an output circuit configured to output the output image.

Abstract: Various embodiments provide a method of processing an input image to generate a de-hazed image. The method may include determining an atmospheric light based on the input image; determining a medium transmission map by applying an edge-preserving smoothing filter to the input image; and recovering scene radiances of the input image based on the determined atmospheric light and the determined medium transmission map. The recovered scene radiances form the de-hazed image.

Abstract: In various embodiments of the present disclosure, there is provided a method for processing an input image. The method includes generating a base layer portion and a detail layer portion from the input image by carrying out a linear transformation of pixels of a guidance image, and determining, for each of the pixels of the guidance image, a variance of the pixels in a surrounding window of pixels. Further, the method includes determining, for each of the pixels of the guidance image, a weight value of the pixels based on the determined variance, wherein the pixels are weighted in the linear transformation according to the determined weight value. Accordingly, a system for processing an input image is also provided.

Abstract: According to various embodiments, an image processing device may be provided. The image processing device may include: an input circuit configured to receive input image data including pixels related to varying exposure times; an interpolation circuit configured to determine an output image based on an interpolation based on the data; and an output circuit configured to output the output image.

Abstract: According to various embodiments, an image processing device may be provided. The image processing device may include: an input circuit configured to receive input image data including pixels related to varying exposure times; a selecting circuit configured to select a reference image from the input images; a weighting determination circuit configured to determine at least one weighting for each pixel of the input image data based on the selected reference image; an output image determination circuit configured to determine an output image based the determined weightings; and an output circuit configured to output the output image.

Abstract: The present invention is a circuit arrangement for a wireless cellular network. The circuit arrangement includes a determiner configured to determine a priority value of each packet of a plurality of packets based on at least a position of a video frame in a group of pictures and a type of the video frame, the video frame or a part thereof being contained in the packet, wherein the type of video frame comprises I frame data or P frame data; and wherein the determiner is further configured to set the priority value of a packet including I frame data lower than the priority value of at least one other packet including P frame data; and a controller configured to control scheduling of the packet based on the determined priority value for a communication device in a wireless cellular network. A method of determining a priority of packet scheduling is also disclosed.

Abstract: Embodiments provide a method for processing an input image having a plurality of pixels, wherein each pixel has a pixel position. The method may include determining, for each pixel position, a vector based on the input image; and determining, for each pixel position, a detail value for the pixel position based on the determined vectors at a plurality of neighboring pixel positions within a predetermined neighboring block of the pixel position.

Abstract: In various embodiments of the present disclosure, there is provided a method for processing an input image. The method includes generating a base layer portion and a detail layer portion from the input image by carrying out a linear transformation of pixels of a guidance image, and determining, for each of the pixels of the guidance image, a variance of the pixels in a surrounding window of pixels. Further, the method includes determining, for each of the pixels of the guidance image, a weight value of the pixels based on the determined variance, wherein the pixels are weighted in the linear transformation according to the determined weight value. Accordingly, a system for processing an input image is also provided.

Abstract: The present invention is a circuit arrangement for a wireless cellular network. The circuit arrangement includes a determiner configured to determine a priority value of each packet of a plurality of packets based on at least a position of a video frame in a group of pictures and a type of the video frame, the video frame or a part thereof being contained in the packet, wherein the type of video frame comprises I frame data or P frame data; and wherein the determiner is further configured to set the priority value of a packet including I frame data lower than the priority value of at least one other packet including P frame data; and a controller configured to control scheduling of the packet based on the determined priority value for a communication device in a wireless cellular network. A method of determining a priority of packet scheduling is also disclosed.

Abstract: Embodiments provide a method for processing an input image having a plurality of pixels, wherein each pixel has a pixel position. The method may include determining, for each pixel position, a vector based on the input image; and determining, for each pixel position, a detail value for the pixel position based on the determined vectors at a plurality of neighboring pixel positions within a predetermined neighboring block of the pixel position.

Abstract: Embodiments provide a method for merging a plurality of first digital pictures, wherein each first digital picture includes a plurality of pixel values. The method includes extracting details from the plurality of first digital pictures. The method further includes combining the pixel values of the plurality of first digital pictures to generate a combined digital picture. The method further includes modifying the combined digital picture with the extracted details to generate a merged digital picture.

Abstract: Embodiments provide a method for merging a plurality of first digital pictures, wherein each first digital picture includes a plurality of pixel values. The method includes extracting details from the plurality of first digital pictures. The method further includes combining the pixel values of the plurality of first digital pictures to generate a combined digital picture. The method further includes modifying the combined digital picture with the extracted details to generate a merged digital picture.