Abstract: Systems and methods for processing YCC image data provided. In one example, an electronic device includes memory to store image data in RGB or YCC format and a YCC image processing pipeline to process the image data. The YCC image processing pipeline may include receiving logic configured to receive the image data in RGB or YCC format and color space conversion logic configured to, when the image data is received in RGB format, convert the image data into YCC format. The YCC image processing logic may also include luma sharpening and chroma suppression logic; brightness, contrast, and color adjustment logic; gamma logic; chroma decimation logic; scaling logic; and chroma noise reduction logic.

Abstract: The techniques disclosed herein use a compass, MEMS accelerometer, GPS module, and MEMS gyrometer to infer a frame of reference for a hand-held device. This can provide a true Frenet frame, i.e., X- and Y-vectors for the display, and also a Z-vector that points perpendicularly to the display. In fact, with various inertial clues from accelerometer, gyrometer, and other instruments that report their states in real time, it is possible to track the Frenet frame of the device in real time to provide a continuous 3D frame-of-reference. Once this continuous frame of reference is known, the position of a user's eyes may either be inferred or calculated directly by using a device's front-facing camera. With the position of the user's eyes and a continuous 3D frame-of-reference for the display, more realistic virtual 3D depictions of the objects on the device's display may be created and interacted with by the user.

Abstract: The present disclosure generally relates to systems and methods for image data processing. In certain embodiments, an image processing pipeline may compute noise statistics associated with image data by receiving a frame of the image data having a plurality of pixels. The image processing pipeline may then identify a plurality of portions of the frame of the image data such that each portion of the plurality of portions has a flat surface. The image processing pipeline may then calculate a plurality of gradients for each portion of the plurality of portions, determine one or more dominant gradient orientations for each portion of the plurality of portions, and generate a histogram that represents a plurality of dominant gradient orientations that corresponds to the plurality of portions. After generating the histogram, the image processing pipeline may store the histogram, which may represent the noise statistics, in a memory.

Abstract: The techniques disclosed herein may use various sensors to infer a frame of reference for a hand-held device. In fact, with various inertial clues from accelerometer, gyrometer, and other instruments that report their states in real time, it is possible to track a Frenet frame of the device in real time to provide an instantaneous (or continuous) 3D frame-of-reference. In addition to—or in place of—calculating this instantaneous (or continuous) frame of reference, the position of a user's head may either be inferred or calculated directly by using one or more of a device's optical sensors, e.g., an optical camera, infrared camera, laser, etc. With knowledge of the 3D frame-of-reference for the display and/or knowledge of the position of the user's head, more realistic virtual 3D depictions of the graphical objects on the device's display may be created—and interacted with—by the user.

Abstract: The techniques disclosed herein use a compass, MEMS accelerometer, GPS module, and MEMS gyrometer to infer a frame of reference for a hand-held device. This can provide a true Frenet frame, i.e., X- and Y-vectors for the display, and also a Z-vector that points perpendicularly to the display. In fact, with various inertial clues from accelerometer, gyrometer, and other instruments that report their states in real time, it is possible to track the Frenet frame of the device in real time to provide a continuous 3D frame-of-reference. Once this continuous frame of reference is known, the position of a user's eyes may either be inferred or calculated directly by using a device's front-facing camera. With the position of the user's eyes and a continuous 3D frame-of-reference for the display, more realistic virtual 3D depictions of the objects on the device's display may be created and interacted with by the user.

Abstract: This disclosure pertains to novel devices, methods, and computer readable media for performing color defringing on image data. In photography, particularly RAW images, different artifacts can affect the quality of the edges of objects in the image. This effect is generally more noticeable when the edge has high contrast. One motivation for the described techniques is the understanding that, typically, not all pixels of an image exhibit color fringing. Usually, fringing only occurs in high-contrast edges. Mere masking of the effects of the whole-image operations can improve the result, but further improvements are still possible. This disclosure also pertains to novel devices and computer readable media for performing red-blue color reconstruction on data from a variety of color filter arrays (CFAs).

Abstract: Techniques in accordance with the following disclosure enable digital images to be filtered (smoothed) to reduce noise and, at the same time, preserve the image's underlying structure. In general, image pixels are analyzed to identify those that participate in, or belong to, structure within the image and those that do not. For those pixels determined to be part of the image's structure, the direction of that structure is determined and filtering or smoothing along that direction is provided. Contrast enhancement in a direction perpendicular to the detected edge's direction may also be provided.

Abstract: A patient side cart for a teleoperated surgical system can include at least one manipulator arm portion for holding a surgical instrument, a steering interface, and a drive system. The steering interface may be configured to detect a force applied by a user to the steering interface indicating a desired movement for the teleoperated surgical system. The drive system can include at least one driven wheel, a control module, and a model section. The control module may receive as input a signal from the steering interface corresponding to the force applied by the user to the steering interface. The control module may be configured to output a desired movement signal corresponding to the signal received from the steering interface. The model section can include a model of movement behavior of the patient side cart, the model section outputting a movement command output to drive the driven wheel.

Abstract: Disclosed are a system and method for computing a picture. Instead of loading a file that contains the image from memory, the present invention provides for a system and method for opening and retaining a procedural recipe and a small set of instructions that can be executed to compute a picture. The picture can be computed very quickly using a GPU (graphics processing unit), and can be made to move on demand. When a part of the image is needed to composite, that part is computed using a fragment program on the GPU using the procedural recipe and a specially written fragment program into a temporary VRAM buffer. After it is computed and composited, the buffer containing the result of the fragment program may be discarded.

Abstract: This disclosure pertains to apparatuses, methods, and computer readable media for red-eye removal techniques using multiple recognition channels. In the following examples, red, golden, and white recognition channels are used. A recognition channel is the monochrome extraction from a color photograph in a manner designed to make one kind of red-eye artifact glow with maximum contrast. Once the red-eye artifact has been characterized by, e.g., size and location, the techniques disclosed herein may then discern whether the red-eye artifact is, for example, a red-, golden-, or white-eye case by examining the configuration and characteristics of pro prominence bitmasks created for the various recognition channels. Once the type of red-eye case has been discerned, the techniques disclosed herein may then replace the artifact with a photographically reasonable result based on the type of red-eye case being repaired. Specular reflection may also be re-added to the photograph.

Abstract: This disclosure pertains to apparatuses, methods, and computer readable media for red-eye removal techniques using multiple recognition channels. In the following examples, red, golden, and white recognition channels are used. A recognition channel is the monochrome extraction from a color photograph in a manner designed to make one kind of red-eye artifact glow with maximum contrast. Once the red-eye artifact has been characterized by, e.g., size and location, the techniques disclosed herein may then discern whether the red-eye artifact is, for example, a red-, golden-, or white-eye case by examining the configuration and characteristics of prominence bitmasks created for the various recognition channels. Once the type of red-eye case has been discerned, the techniques disclosed herein may then replace the artifact with a photographically reasonable result based on the type of red-eye case being repaired. Specular reflection may also be re-added to the photograph.

Abstract: This disclosure pertains to apparatuses, methods, and computer readable media for red-eye removal techniques using multiple recognition channels. In the following examples, red, golden, and white recognition channels are used. A recognition channel is the monochrome extraction from a color photograph in a manner designed to make one kind of red-eye artifact glow with maximum contrast. Once the red-eye artifact has been characterized by, e.g., size and location, the techniques disclosed herein may then discern whether the red-eye artifact is, for example, a red-, golden-, or white-eye case by examining the configuration and characteristics of prominence bitmasks created for the various recognition channels. Once the type of red-eye case has been discerned, the techniques disclosed herein may then replace the artifact with a photographically reasonable result based on the type of red-eye case being repaired. Specular reflection may also be re-added to the photograph.

Abstract: This disclosure pertains to apparatuses, methods, and computer readable media for red-eye removal techniques using multiple recognition channels. In the following examples, red, golden, and white recognition channels are used. A recognition channel is the monochrome extraction from a color photograph in a manner designed to make one kind of red-eye artifact glow with maximum contrast. Once the red-eye artifact has been characterized by, e.g., size and location, the techniques disclosed herein may then discern whether the red-eye artifact is, for example, a red-, golden-, or white-eye case by examining the configuration and characteristics of prominence bitmasks created for the various recognition channels. Once the type of red-eye case has been discerned, the techniques disclosed herein may then replace the artifact with a photographically reasonable result based on the type of red-eye case being repaired. Specular reflection may also be re-added to the photograph.

Abstract: This disclosure pertains to apparatuses, methods, and computer readable media for automatic red-eye repair using multiple recognition channels. While it is possible to manually specify all of the eyes in an image to be repaired, it is desirable for repair to happen automatically. Since red-eye repair algorithms are dependent upon knowing the image position and size of each artifact to be repaired, in an automatic repair mode, the algorithm must be directed as to where the repair should be applied. Face detection is one way to determine eye positions and the interocular distance (IOD) with some degree of certainty. In some embodiments, red, golden, and white recognition channels may be used to locate and determine the type of the artifacts. Once an artifact has been characterized by, e.g., type, size, and location, the techniques disclosed herein may then repair the artifact, replacing it with a photographically reasonable result.

Abstract: Disclosed are a system and method for computing a desktop picture. Instead of loading a file that contains the desktop image from memory, the present invention provides for a system and method for opening and retaining a procedural recipe and a small set of instructions that can be executed to compute a desktop picture. The desktop picture can be computed very quickly using a GPU (graphics processing unit), and can be made to move on demand. When a part of the desktop image is needed to composite, that part is computed using a fragment program on the GPU using the procedural recipe and a specially written fragment program into a temporary VRAM buffer. After it is computed and composited, the buffer containing the result of the fragment program may be discarded.

Abstract: This disclosure pertains to apparatuses, methods, and computer readable media for red-eye removal techniques using multiple recognition channels. In the following examples, red, golden, and white recognition channels are used. A recognition channel is the monochrome extraction from a color photograph in a manner designed to make one kind of red-eye artifact glow with maximum contrast. Once the red-eye artifact has been characterized by, e.g., size and location, the techniques disclosed herein may then discern whether the red-eye artifact is, for example, a red-, golden-, or white-eye case by examining the configuration and characteristics of prominence bitmasks created for the various recognition channels. Once the type of red-eye case has been discerned, the techniques disclosed herein may then replace the artifact with a photographically reasonable result based on the type of red-eye case being repaired. Specular reflection may also be re-added to the photograph.

Abstract: Disclosed is a system for producing images including techniques for reducing the memory and processing power required for such operations. The system provides techniques for programmatically representing a graphics problem. The system further provides techniques for reducing and optimizing graphics problems for rendering with consideration of the system resources, such as the availability of a compatible GPU.

Abstract: A presentation application for masking portions of an object, such as the background of an image, is provided. The presentation application may provide a background removal tool that allows a user to define an initial point in the background of the object. The presentation application may establish an initial background color based on the initial point, and may compute and automatically adjust a color tolerance of the background color based on the distance that a user-controlled cursor is from the initial point. Using a seed-fill algorithm, the presentation application can select a contiguous portion of the object for masking that includes the initial point and surrounding pixels that are within the background color tolerance. To smoothen the edges of the contiguous portion, the presentation application can convert the portion to a vector graphic before masking the object.

Abstract: Disclosed is a system for producing images including an application program interface. The system includes an API and techniques for creating images by defining relationships between filters and images, such relationships programmatically assembled in an object by a cooperative session between a requesting application and a graphics services resource. The system also includes aspects regarding optimization of the programmatically assembled object and techniques for rendering in multi-processor environment.

Abstract: A system and method for automatically updating reference values includes a processing device configured to execute a software application. The software application employs one or more dynamic data items which change as a function of time. A memory device is configured to store at least one table including the one or more dynamic data items which change as a function of time. An update mechanism is configured to check one or more external information sources for current values of the one or more dynamic data items and update the one or more dynamic data items in the at least one table such that upon execution of the software application a most recently updated value is employed for the one or more dynamic data items.