Abstract: A wide angle video camera system which eliminates barrel distortion and increase the field of view by combining multiple images. Image distortion may be corrected through use of a jig to determine the field of view and distortion parameters of a camera lens. From these measurements, one may calculate the amount of adjustment needed at various points in the image. Once the image correction parameters are determined for a particular camera lens, the real time image obtained from the camera may be corrected immediately, without the need for post image processing to correct for distortion. As multiple overlapping images may be immediately corrected, they may also be instantaneously aligned and combined into a single image.

Abstract: A technique for encoding a video signal includes generating a representative value for each block of one or more video frames by applying a predetermined function to the pixels of the respective block. To perform a block matching operation for a current block, the technique applies the predetermined function to the current block and interrogates representative values of blocks at specified locations in a spatial and/or temporal vicinity of the current block to find a matching block whose representative value matches the one generated for the current block.

Abstract: An apparatus for encoding video information according to certain aspects includes a memory and computing hardware. The memory is configured to store video information. The computing hardware is configured to determine a bit depth of one or more view identifiers to signal, wherein each of the one or more view identifiers is associated with a layer to be encoded. The computing hardware is further configured to signal the bit depth of the one or more view identifiers in a bitstream.

Abstract: A method for video decoding includes: dividing a plurality of luma component data of a reference frame into a plurality of primary data and a plurality of secondary data, respectively stored in a first memory region and a second memory region; accessing the first memory region to perform a motion estimation; and accessing the second region to perform a luma motion compensation.

Abstract: A logic device includes: a function block and a configuration block. The function block is configurable to perform operations associated with a plurality of operation modes. The configuration block is configured to configure the function block to perform an operation associated with any one of the plurality of operation modes. The logic device also includes a controller configured to control the configuration block so that the function block is configured to perform the operation.

Abstract: A system and method for inspecting a surface, comprising: illuminating said surface with an electromagnetic radiation to generate scattered radiation, having a plurality of scattering angles, from features of said surface; collecting said scattered radiation from said surface at two or more positions, with radiation collected at each position forming an image of a plurality of points on said surface by collecting a portion of said scattered radiation propagating in a subset of said scattering angles; detecting images of surface at two or more said positions; and combining information from two or more said images of surface to generate a global information set, having information from a plurality of said scattering angles collected by two or more said imaging modules, whereby said features of said surface are detected in said images of surface and in said global information set.

Abstract: An image obtaining apparatus includes an image pickup unit, a stage, a connection unit, a movement mechanism, a position detection unit, and a control unit. The image pickup unit includes an objective lens. The stage is configured to determine a position of a pathology slide in an optical axis direction of the objective lens, and the pathology slide is an image pickup target of the image pickup unit. The connection unit is provided to the stage. The movement mechanism is connected to the stage through the connection unit and configured to move the stage in the optical axis direction. The position detection unit is configured to detect a position of the stage in the optical axis direction for a measurement point preset on the stage. The control unit is configured to control the movement mechanism by using at least a result of the detection by the position detection unit.

Abstract: An apparatus for coding video information according to certain aspects includes a memory and computing hardware. The memory is configured to store video information. The computing hardware is configured to process at least one of a first signal indicating whether at least one sublayer of one or more layer sets has bit rate information to signal or a second signal indicating whether at least one sublayer of the one or more layer sets has picture rate information to signal.

Abstract: To obtain a three-dimensional virtual reconstruction of a workpiece the workpiece is positioned on a display screen between the display screen and at least one imager wherein the imager acquires multiple images of the workpiece while (a) multiple light stripes are displayed and swept in a first directional orientation across the display screen, (b) multiple light stripes are displayed and swept in at least one second directional orientation across the display screen, and (c) multiple images for each position of the multiple light stripes at different exposure times are captured. From the multiple images, a difference caused by the workpiece in a width and a profile of the multiple light stripes is determined. That difference is used to calculate a depth value (z) of the workpiece at each imager pixel position (x, y). The calculated depth value is used to reconstruct a surface shape of the workpiece.

Abstract: The present invention discloses an intra prediction method for predicting pixel values within a prediction target block on the basis of a plurality of peripheral pixels adjacent to the prediction target block. The intra prediction method according to the present invention includes the steps of: receiving and decoding encoded image information; determining a target boundary by determining a plurality of boundary pixels representing the target boundary within the prediction target block on the basis of the decoded image information; determining a plurality of prediction target regions partitioned on the basis of the target boundary within the prediction target block; and performing a prediction for each of the plurality of prediction target regions on the basis of peripheral pixels differing from each other selected from among the plurality of the peripheral pixels.

Abstract: A video coder applies a residual differential pulse code modulation technique to a residual data of a block coded using lossy coding. The block may be coded without application of a transform to the residual data.

Abstract: An image sensor 2 includes: a photoelectric conversion layer 1d including a plurality of photosensitive cells; a reflective layer 1c that reflects light that has been transmitted through the photoelectric conversion layer 1d; a micro lens layer 1a that includes a plurality of micro lenses that are arranged between the photoelectric conversion layer 1d and the reflective layer 1c; and a transmitted light controlling layer 1b that is arranged between the photoelectric conversion layer 1d and the reflective layer 1c and that is able to change optical transmittance in accordance with an instruction given by a controller. The micro lens layer 1a is arranged so that light that has been transmitted through one of the photosensitive cells and then reflected from the reflective layer 1c is incident on the same photosensitive cell again.

Abstract: The distance calculating apparatus detects an object distance to an object based on a first object image signal formed by a luminous flux passing through a first pupil region of an imaging optical system and a second object image signal formed by a luminous flux passing through a second pupil region of the imaging optical system, which are generated by using an imaging device including multiple pixels. The imaging device includes a first and a second photoelectric conversion sections. The first and the second photoelectric conversion sections generate the first and the second object image signals, respectively. The first and the second pupil regions have asymmetric pupil region shapes in an exit pupil of the imaging optical system. An object distance calculation unit detects the object distance by a DFD method based on a difference in bokeh of the first and the second object image signals.

Abstract: A method for decoding includes: determining an expected power according to the current remaining power and an expected decoding time length, determining a first average power according to the accumulated decoding time length and the accumulated power consumption of the decoder from the moment it starts to work until the current moment; determining a second average power according to the accumulated decoding time length and the accumulated power consumption in the process of decoding the latest preset number of image groups; when the absolute value of the difference between the expected power and the second average power exceeds a preset threshold and the expected power is not equal to the first average power, determining the operation mode of the decoder according to the size relationship between the expected power and the first average power and decoding a data frame according to the determined operation mode.

Abstract: A video processing device includes a complexity estimation module to determine a first sum of variances metric and a first estimated picture encoding cost metric for a first picture of a video stream. The video processing device further includes a scene analysis module to determine a first threshold based on a first statistical feature for sum of variance metrics of a set of one or more pictures preceding the first picture in the video stream and a second threshold based on a second statistical feature for estimated picture encoding cost metrics of the set of one or more pictures. The scene analysis module further is to identify a scene change as occurring at the first picture based on the first sum of variances metric, the first estimated picture encoding cost metric, the first threshold, and the second threshold.