Abstract: An omnidirectional user configurable multi-camera housing includes a top plate including one or more electronic circuit boards thereon; a track plate secured to the top plate by a plurality of first fasteners, wherein the track plate is rotationally movable with respect to the top plate via a respective curve-shaped opening that accommodates movement of a respective first fastener within the respective curve-shaped opening; a plurality of camera assemblies secured to the track plate by a plurality of magnetic devices, each of the camera assemblies including a camera and a bracket, movably installed on the track, wherein each of the camera is rotatable on a respective bracket in a plane perpendicular to the track plate, and wherein each of the bracket are rotatable in a plane including the track plate; and a transparent cover for covering the plurality of camera assemblies installed on the track plate.

Abstract: An omnidirectional user configurable multi-camera housing includes a top plate including one or more electronic circuit boards thereon; a track plate secured to the top plate by a plurality of first fasteners, wherein the track plate is rotationally movable with respect to the top plate via a respective curve-shaped opening that accommodates movement of a respective first fastener within the respective curve-shaped opening; a plurality of camera assemblies secured to the track plate by a plurality of magnetic devices, each of the camera assemblies including a camera and a bracket, movably installed on the track, wherein each of the camera is rotatable on a respective bracket in a plane perpendicular to the track plate, and wherein each of the bracket are rotatable in a plane including the track plate; and a transparent cover for covering the plurality of camera assemblies installed on the track plate.

Abstract: A camera for enhanced color imaging in a low light environment including: one or more illuminators for illuminating a R, a G, and a B light at different time periods; an image sensor for capturing R G and B image frames; and a processor configured to generate an intermediate color frame from each of the R, G and B image frames; determine moving pixels in the each of the intermediate color frames; determine a true color for the moving pixels in each intermediate color frame; generate a true color frame for each intermediate color frame by substituting color of the moving pixels with respective true colors of the moving pixels, in intermediate color frame; calculate scene color metrics from the true color frame or intermediate color frame; and adaptively adjust illumination of one or more of the R, G, and B lights to enhance a next frame.

Abstract: A method for improving quality of low light video images including: receiving a current video frame; temporally enhancing it by applying a first weight matrix including higher weight factors for stationary regions and lower weight factors for moving regions to the received frame and a reference frame to generate an enhanced temporal video frame; spatially enhancing the enhanced temporal video frame by applying a second weight matrix including higher weight factors for stationary regions and lower weight factors for moving regions to generate an enhanced spatial video frame; and motion enhancing the enhanced temporal video frame by extracting matched rigid moving objects in a previous or future frame and processing each of the extracted matched rigid moving objects with a corresponding rigid object in the enhanced temporal or spatial or raw current video frame.

Abstract: A method for improving quality of low light video images including: receiving a current video frame; temporally enhancing it by applying a first weight matrix including higher weight factors for stationary regions and lower weight factors for moving regions to the received frame and a reference frame to generate an enhanced temporal video frame; spatially enhancing the enhanced temporal video frame by applying a second weight matrix including higher weight factors for stationary regions and lower weight factors for moving regions to generate an enhanced spatial video frame; and motion enhancing the enhanced temporal video frame by extracting matched rigid moving objects in a previous or future frame and processing each of the extracted matched rigid moving objects with a corresponding rigid object in the enhanced temporal or spatial or raw current video frame.

Abstract: A method and system for enhancing image resolution using optical image translation, including: receiving multiple dissimilar low-resolution images generated by a time varying linear phase mask (LPM); receiving a direction vector for each of the multiple dissimilar low-resolution images; interleaving the received multiple dissimilar low-resolution images using the received direction vectors to form an intermediate high-resolution image; computing a likelihood of pixel motion in the intermediate high-resolution image; compensating for pixel motion in the intermediate high-resolution image; and generating a final high-resolution image.

Abstract: A method for improving quality of low light video images including: receiving a current video frame; temporally enhancing it by applying a first weight matrix including higher weight factors for stationary regions and lower weight factors for moving regions to the received frame and a reference frame to generate an enhanced temporal video frame; spatially enhancing the enhanced temporal video frame by applying a second weight matrix including higher weight factors for stationary regions and lower weight factors for moving regions to generate an enhanced spatial video frame; and motion enhancing the enhanced temporal video frame by extracting matched rigid moving objects in a previous or future frame and processing each of the extracted matched rigid moving objects with a corresponding rigid object in the enhanced temporal or spatial or raw current video frame.

Abstract: A method and system for enhancing image resolution using optical image translation, including: receiving multiple dissimilar low-resolution images generated by a time varying linear phase mask (LPM); receiving a direction vector for each of the multiple dissimilar low-resolution images; interleaving the received multiple dissimilar low-resolution images using the received direction vectors to form an intermediate high-resolution image; computing a likelihood of pixel motion in the intermediate high-resolution image; compensating for pixel motion in the intermediate high-resolution image; and generating a final high-resolution image.

Abstract: A camera for enhanced color imaging in a low light environment including: one or more illuminators for illuminating a R, a G, and a B light at different time periods; an image sensor for capturing R G and B image frames; and a processor configured to generate an intermediate color frame from each of the R, G and B image frames; determine moving pixels in the each of the intermediate color frames; determine a true color for the moving pixels in each intermediate color frame; generate a true color frame for each intermediate color frame by substituting color of the moving pixels with respective true colors of the moving pixels, in intermediate color frame; calculate scene color metrics from the true color frame or intermediate color frame; and adaptively adjust illumination of one or more of the R, G, and B lights to enhance a next frame.

Abstract: A camera for enhanced color imaging in a low light environment including: one or more illuminators for illuminating a R, a G, and a B light at different time periods; an image sensor for capturing R G and B image frames; and a processor configured to generate an intermediate color frame from each of the R, G and B image frames; determine moving pixels in the each of the intermediate color frames; determine a true color for the moving pixels in each intermediate color frame; generate a true color frame for each intermediate color frame by substituting color of the moving pixels with respective true colors of the moving pixels, in intermediate color frame; calculate scene color metrics from the true color frame or intermediate color frame; and adaptively adjust illumination of one or more of the R, G, and B lights to enhance a next frame.

Abstract: A method for improving quality of low light video images including: receiving a current video frame; temporally enhancing it by applying a first weight matrix including higher weight factors for stationary regions and lower weight factors for moving regions to the received frame and a reference frame to generate an enhanced temporal video frame; spatially enhancing the enhanced temporal video frame by applying a second weight matrix including higher weight factors for stationary regions and lower weight factors for moving regions to generate an enhanced spatial video frame; and motion enhancing the enhanced temporal video frame by extracting matched rigid moving objects in a previous or future frame and processing each of the extracted matched rigid moving objects with a corresponding rigid object in the enhanced temporal or spatial or raw current video frame.

Abstract: An image sensor for low light cameras including a plurality of image pixels, each including: a photodiode layer; an oxide layer; a metal layer; a first microlens layer for focusing an incident light onto the photodiode layer; and a second microlens layer formed on top of the first microlens layer for generating a collimated light from a sharp-angled light from a low light camera and illuminating said collimated light to the first microlens layer to be focused on the photodiode layer.

Abstract: A method and system for low-latency processing of intra-frame video pixel block prediction including: predicting a pixel block based on boundary pixels of left and upper neighbor blocks of said pixel block; subtracting said predicted pixel block from a source pixel block to generate a prediction error; forward transforming and quantizing said prediction error to generate a residual data; inverse transforming and quantizing said residual data; adding said predicted pixel block to said inverse transformed and quantized residual data to generate a reconstructed pixel block; pre-computing blocks of DC-coefficients used with luma and chroma intra prediction modes; pre-computing mode selection of a best prediction mode of said luma and chroma intra prediction modes; and outputting said residual data to be used in entropy or arithmetic coding, and a reconstructed data used for motion prediction.

Abstract: A parallel processor for motion estimation including: a matrix of elementary processors configured in rows and columns, local connections between the elementary processors for transmitting partial results, and row outputs for outputting a set of best match values (for example, SAD values), one value for each pixel row of a current block of image pixels; and search area delay buffers coupled to each row inputs, for accepting pixels of the search area as input and forming a reference block row. The processor further includes current block delay buffers coupled to each row inputs, for accepting pixels of the current block as input; a sum module coupled to the row outputs for computing a final match value from the row outputs; and a sorting module for sequentially selecting a best match value from the final match values outputted from the sum module, and generating a corresponding motion vector.

Abstract: An image processing method and system for a multi-sensor network camera. The method and system including generating a plurality of full resolution images in Bayer array format (Bayer images) produced by a plurality of image sensors; interpolating a plurality of low resolution Bayer images from the full resolution Bayer images during the readout of the full resolution images from the sensors, storing the full resolution Bayer images and the interpolated low resolution images in a plurality of buffer memories, respectively and without demosaicing the full resolution Bayer images, during the readout of the full resolution Bayer images from the image sensors, by respective plurality of pre-processors; demosaicing the plurality of low resolution Bayer images to generate a corresponding plurality of low resolution demosaiced images, by an image post processor; and transmitting the plurality of low resolution demosaiced images over a computer network to a user for viewing.

Abstract: A multi-sensor network camera providing up to 360 degrees angle of view. The includes multiple image sensors with individual optics, one or more image processors, compression units and network interfaces mounted in the single housing. The image sensors are positioned in non-parallel planes, cumulatively providing panoramic field of view and image streams originating from all sensors share the same image compression and network interface hardware, providing for low cost implementation. The images from all sensors are transmitted over the network simultaneously via packet interleaving, with appropriate bandwidth reduction achieved by image decimation. Simultaneously with transmission of decimated images from all sensors, full resolution window or entire image of one or more sensors may also transmitted, where the selection of contents is based on motion detection or user setting.

Abstract: The subject of this invention is the network camera comprising an image sensor, image processor, and network interface, where image processor is capable of detecting the motion in the field of view of the camera, extracting/windowing the portion (sub-window) of the image that corresponds to that motion and submitting thus identified sub-window to the network interface hardware for transmission and where said image processor is also capable of submitting to the network interface the full field of view reduced-resolution (decimated) image either as the only image to be transmitted or as the image to be transmitted in a time-interleaved fashion with the said image window containing the motion.

Abstract: A method for determining a correction for a spectra of scene illumination based on analysis of color content of a video image, in which average image colors are obtained by considering only those image pixels that have significantly different color from any of its neighboring pixels resulting in selection of only those pixels that lay on the boundaries of monochrome image segments, while avoiding their inner areas. Therefore, the white balance method is not only tolerant to the presence of large non-gray monochrome areas in the image, but also avoids the image areas that have small chrominance values and appear to be gray due to specific illumination spectra, while not actually corresponding to the grey areas of the scene.

Abstract: The subject of the present invention is the network video camera capable of delivering high-resolution digital images, comprising over a million of pixels per image, at full motion video frame rate.