There is disclosed in one example a video processor, including: an input buffer to receive an input image; a slicer circuit to divide the input image into a plurality of N vertical slices; N parallel input buffers for de-rasterization; N parallel image scalers, wherein each scaler is hardware configured to scale in a raster form, one of the N vertical slices according to an image scaling algorithm; N parallel output buffers for rerasteriztion; and an output multiplexer to combine the scaled vertical slices into a combined scaled output image.

Methods and apparatuses are disclosed herein for performing tone mapping and/or contrast enhancement. In some examples, a block mapping curve is low-pass filtered with block mapping curves of surrounding blocks to form a smoothed block mapping curve. In some examples, overlapped curve mapping of block mapping curves, including smoothed block mapping curves, is performed, including weighting, based on a pixel location, block mapping curves of a group of blocks to generate an interpolated block mapping curve and applying the interpolated block mapping curve to a pixel to perform ton mapping and/or contrast enhancement.

The present invention facilitates efficient and effective image processing. A network can comprise: a first system configured to perform a first portion of lighting calculations for an image and combing results of the first portion of lighting calculations for the image with results of a second portion of lighting calculations; and a second system configured to perform the second portion of lighting calculations and forward the results of the second portion of the lighting calculations to the first system. The first and second portion of lighting calculations can be associated with indirect lighting calculations and direct lighting calculations respectively. The first system can be a client in a local location and the second system can be a server in a remote location (e.g., a cloud computing environment). The first system and second system can be in a cloud and a video is transmitted to a local system.

Methods, systems and devices for displaying video content on large, high resolution video walls, which may comprise a mesh network of an array of display tiles with redundant network switching, in which a virtual, unlimited pixel canvas is created in a video controller memory to facilitate packetizing and addressing of video content packets for delivery to the video wall through a packet-switched network. Embodiments disclosed are particularly well-suited for use with video walls employing LED tiles.

A graphics processing system is configured to render primitives using a rendering space that is sub-divided into sections, wherein the graphics processing system includes assessment logic configured to make an assessment regarding the presence of primitive edges in a section, and determination logic configured to determine an anti-aliasing setting for the section based on the assessment.

Examples are described of marking specified regions of stored image frame buffer data in an image frame buffer. An imaging system can read the specified regions of the image frame buffer to identify whether the marking has been overwritten or not. The imaging system can thus efficiently identify how much of the image frame buffer has been overwritten with data from a new image frame. Based on this, the imaging system can retrieve partial image frame data from the image frame buffer and can process the partial image frame data, for instance to composite the partial image frame data with virtual content and/or to perform distortion compensation. The processed partial image frame data can be uploaded to a display buffer and displayed by a display, either as-is or once more of the frame is captured and processed. The imaging system can also perform auto-exposure using the partial image frame data.

Methods and apparatuses are disclosed herein for performing tone mapping and/or contrast enhancement. In some examples, a block mapping curve is low-pass filtered with block mapping curves of surrounding blocks to form a smoothed block mapping curve. In some examples, overlapped curve mapping of block mapping curves, including smoothed block mapping curves, is performed, including weighting, based on a pixel location, block mapping curves of a group of blocks to generate an interpolated block mapping curve and applying the interpolated block mapping curve to a pixel to perform ton mapping and/or contrast enhancement.

The present invention facilitates efficient and effective image processing. A network can comprise: a first system configured to perform a first portion of lighting calculations for an image and combing results of the first portion of lighting calculations for the image with results of a second portion of lighting calculations; and a second system configured to perform the second portion of lighting calculations and forward the results of the second portion of the lighting calculations to the first system. The first and second portion of lighting calculations can be associated with indirect lighting calculations and direct lighting calculations respectively. The first system can be a client in a local location and the second system can be a server in a remote location (e.g., a cloud computing environment). The first system and second system can be in a cloud and a video is transmitted to a local system.

An image signal processor for generating a converted image based on a raw image includes processing circuitry configured to store data corresponding to a plurality of lines of a received image in a line buffer, perform an image processing operation by filtering the data stored in the line buffer based on at least one filter, and divide the raw image into a plurality of sub-images and request the plurality of sub-images from a memory in which the raw image is stored, such that the plurality of sub-images are sequentially received by the line buffer, a width of each of the plurality of sub-images being less than a width of the line buffer, and the plurality of sub-images being parallel to each other.

An image data correcting device included in a display device includes a correction data memory and a correction calculator. The correction data memory stores sampling window select information indicating a sampling window selected from a plurality of sampling windows that are different from each other, and correction data obtained utilizing the selected sampling window with respect to the display device. The correction calculator receives image data, and corrects the image data based on the correction data for pixels at positions corresponding to the selected sampling window indicated by the sampling window select information.