Patent application number | Description | Published |
20090044136 | BACKGROUND REMOVAL TOOL FOR A PRESENTATION APPLICATION - 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. | 02-12-2009 |
20100098350 | Blur Computation Algorithm - Disclosed herein is an improved blur computation algorithm. The proposed algorithm accomplishes a blur of an image using fragment programs on a GPU. Alternatively, the blur may be computed on a CPU through emulation or directly programmed. Modifications of the program are possible that accomplish motion blur, zoom blur, radial blur, and various other forms of blur that vary across an image computed for the purpose of simulating depth-of-field. | 04-22-2010 |
20100165149 | Opponent Color Detail Enhancement for Saturated Colors - A method, system and device for enhancing detail in areas of saturated color in an image are described. As areas of saturated color are detected in an image the opponent color channel is used to calculate a factor to apply to the original pixel value. By calculating this factor to adjust the pixel values of the image detail may be enhanced in the color saturated areas. A user supplied value may also be included to control the amount of automatic adjustment to the pixel values. | 07-01-2010 |
20100214305 | System and Method for Processing Graphics Operations with Graphics Processing Unit - Disclosed is a system and method for processing graphic operations on a plurality of data structures of an image with a graphics processing unit and memory. The disclosed techniques of the system and method create an accumulation buffer of the data structures for accumulating changes to the data structures. A separate buffer is then created from at least a portion of the data structures of the accumulation buffer. The disclosed techniques read the data structures from the separate buffer with the graphics processing unit. The graphics processing unit operates on the data structures read from the separate buffer with the operation. Then, the disclosed techniques write the results of the operation onto the portion of the accumulation buffer corresponding to the separate buffer. | 08-26-2010 |
20100271505 | System and Method for RAW Image Processing - An automated RAW image processing method and system are disclosed. A RAW image and metadata related to the RAW image are obtained from a digital camera or other source. The RAW image and the related metadata are automatically processed using an Operating System service of a processing device to produce a resulting image in an absolute color space. The resulting image is then made available to an application program executing on the processing device through an application program interface with the Operating System service. | 10-28-2010 |
20100309336 | SKIN TONE AWARE COLOR BOOST FOR CAMERAS - Increasing color saturation and contrast in images generally leads to more pleasing images; however, doing so uniformly to all colors in the image can make skin tones appear with an overly red tint. One embodiment of an improved method of skin tone aware color boosting identifies areas of the image which look like skin tones and areas that do not look like skin tones. A blurred “skin tone mask” can then be created over the image. One large boost operation and one small boost operation can be applied to the image. A final version of the image may then be created, applying the pixel values resulting from the small boosting operation to the skin tone regions and applying the pixel values resulting from the large boosting operation to the non-skin tone regions, using the blurred mask to provide a smooth transition between the skin tone and non-skin tone regions. | 12-09-2010 |
20100309344 | CHROMA NOISE REDUCTION FOR CAMERAS - A system, apparatus, computer readable medium, and method for noise reduction in image capturing devices involving an edge-preserving blur window is disclosed. In one embodiment, the edge-preserving blur includes only those pixels in the blur window that are visually close to the blur window's current center pixel in its blurring calculation. Limiting the pixels considered in the blur to those that are visually close to the center pixel ensures that the image's colors are not blurred along color edges within the image. Light-product information taken from the image's metadata, for example, the camera sensor's gain level, may be used to adjust the blur filter parameters dynamically. This allows the method to perform the appropriate amount of processing depending on the lighting situation of the image that is currently being processed. | 12-09-2010 |
20100309345 | Radially-Based Chroma Noise Reduction for Cameras - A system, apparatus, computer readable medium, and method for radially-dependent noise reduction in image capturing devices involving an edge-preserving blur window are disclosed. In one embodiment, the edge-preserving blur includes only those pixels in the blur window that are within a threshold value of the blur window's current center pixel in its blurring calculation. By creating a threshold function that varies radially from the center of the image sensor's light intensity falloff function, a more appropriate threshold value can be chosen for each pixel, allowing for more noise farther from the center of the image, and allowing for less noise closer to the center of the image. Light-product information taken from the image's metadata may be used to scale the threshold value parameters dynamically. This allows the method to perform the appropriate amount of processing depending on the lighting situation of the image that is currently being processed. | 12-09-2010 |
20100309346 | AUTOMATIC TONE MAPPING FOR CAMERAS - A device, method, computer useable medium, and processor programmed to automatically generate tone mapping curves in a digital camera based on image metadata are described. By examining image metadata from a digital camera's sensor, such as the light-product, one can detect sun-lit, high-light, and low-light scenes. Once the light-product value has been calculated for a given image, a tone mapping curve can automatically be generated within the sensor and adjusted appropriately for the scene based on predetermined parameters. Further, it has been determined that independently varying the slopes of the tone mapping curve at the low end (S | 12-09-2010 |
20110052091 | Directional Noise Filtering - 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. | 03-03-2011 |
20110169857 | System for Optimizing Graphics Operations - 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. | 07-14-2011 |
20110187736 | System and Method for Processing Graphics Operations with Graphics Processing Unit - Disclosed is a system and method for processing graphic operations on a plurality of data structures of an image with a graphics processing unit and memory. The disclosed techniques of the system and method create an accumulation buffer of the data structures for accumulating changes to the data structures. A separate buffer is then created from at least a portion of the data structures of the accumulation buffer. The disclosed techniques read the data structures from the separate buffer with the graphics processing unit. The graphics processing unit operates on the data structures read from the separate buffer with the operation. Then, the disclosed techniques write the results of the operation onto the portion of the accumulation buffer corresponding to the separate buffer. | 08-04-2011 |
20120036433 | Three Dimensional User Interface Effects on a Display by Using Properties of Motion - 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. | 02-09-2012 |
20120114227 | OPPONENT COLOR DETAIL ENHANCEMENT FOR SATURATED COLORS - A method, system and device for enhancing detail in areas of saturated color in an image are described. As areas of saturated color are detected in an image the opponent color channel is used to calculate a factor to apply to the original pixel value. By calculating this factor to adjust the pixel values of the image detail may be enhanced in the color saturated areas. A user supplied value may also be included to control the amount of automatic adjustment to the pixel values. | 05-10-2012 |
20120131479 | Resolution Independent User Interface Design - Graphical user interface material map objects are specified by a collection of attribute-value pairs, the collection of which comprises a complete description of the material map and may be used by a rendering engine to create a visual representation of the material map at any resolution. That is, material map representations in accordance with the invention are resolution independent. Another benefit of representing material maps in accordance with the invention is that they may be encrypted to prevent unauthorized inspection or use. | 05-24-2012 |
20120147011 | System for Optimizing Graphics Operations - 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. | 06-14-2012 |
20120242675 | Red-Eye Removal Using Multiple Recognition Channels - 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. | 09-27-2012 |
20120242681 | Red-Eye Removal Using Multiple Recognition Channels - 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. | 09-27-2012 |
20120242861 | Red-Eye Removal Using Multiple Recognition Channels - 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. | 09-27-2012 |
20120243780 | Red-Eye Removal Using Multiple Recognition Channels - 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. | 09-27-2012 |
20120243783 | Red-Eye Removal Using Multiple Recognition Channels - 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. | 09-27-2012 |
20120287149 | System and Method for Processing Graphics Operations with Graphics Processing Unit - Disclosed is a system and method for processing graphic operations on a plurality of data structures of an image with a graphics processing unit and memory. The disclosed techniques of the system and method create an accumulation buffer of the data structures for accumulating changes to the data structures. A separate buffer is then created from at least a portion of the data structures of the accumulation buffer. The disclosed techniques read the data structures from the separate buffer with the graphics processing unit. The graphics processing unit operates on the data structures read from the separate buffer with the operation. Then, the disclosed techniques write the results of the operation onto the portion of the accumulation buffer corresponding to the separate buffer. | 11-15-2012 |
20120308132 | Automatic Red-Eye Repair Using Multiple Recognition Channels - 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. | 12-06-2012 |
20140184634 | System for Optimizing Graphics Operations - 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. | 07-03-2014 |
20140292797 | System And Method For Computing An Image - 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. | 10-02-2014 |
20140307963 | Defringing RAW Images - 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). | 10-16-2014 |