Abstract: Systems and methods for generating high dynamic images from interleaved Bayer array data with high spatial resolution and reduced sampling artifacts. Bayer array data are demosaiced into components of the YUV color space before deinterleaving. The Y component and the UV components can be derived from the Bayer array data through demosiac convolution processes. A respective convolution is performed between a convolution kernel and a set of adjacent pixels of the Bayer array that are in the same color channel. A convolution kernel is selected based the mosaic pattern of the Bayer array and the color channels of the set of adjacent pixels. The Y data and UV data are deinterleaved and interpolated into frames of short exposure and long exposures in the second color space. The short exposure and long exposure frames are then blended and converted back to a RGB frame representing a high dynamic range image.

Abstract: Embodiments of the present invention are operable to generate a set of weights derived through crowdsourcing procedures for use in automatically performing white balancing operations on images captured by a digital camera system. Embodiments of the present invention are operable to generate a set of images which are illuminated with known and different illuminants. Using crowdsourcing procedures, embodiments of the present invention gather user feedback concerning which images from the set of images adjusted by the known illuminants are considered to be the most aesthetically pleasing. Images selected by the users are then stored within a database of selected images. Using a learning engine, embodiments of the present invention may then produce a set of weights based on the user selected images for use in determining a likely illuminant when performing automatic white balancing operations performed on the camera system.

Abstract: Embodiments of the present invention are operable to perform automatic white balancing operations on images captured by a camera system through the use of weights derived through crowdsourcing procedures. Embodiments of the present invention use crowdsourced weight data resident on the camera system in combination with sampled image data of a captured image to determine a likely illuminant source. When performing automatic white balancing operations on the captured image, embodiments of the present invention may also compute a confidence score which may present the user with a choice to either use the likely illuminant determined using the crowdsourced weights or the camera system's default or normal automatic white balancing correction algorithm.

Abstract: A system and method for correcting image data. Embodiments of the present invention provide calibration and image correction to overcome various lens effects including lens shading and lens imperfections. In one embodiment, the correction of image data is performed via utilization of a spline surface (e.g., Bezier surface). The use of spline surfaces facilitates efficient hardware implementation. The image correction may be performed on a per channel and illumination type basis. In another embodiment, the present invention provides a method for determine a spline surface to be used for calibrating an image signal processor to be used in correcting image data.

Abstract: According to various embodiments, the system and method of the present invention process light-field image data so as to reduce color artifacts, reduce projection artifacts, and/or increase dynamic range. These techniques operate, for example, on image data affected by sensor saturation and/or microlens modulation. Flat-field images are captured and converted to modulation images, and then applied on a per-pixel basis, according to techniques described herein.

Abstract: Techniques for per-channel image intensity correction includes linear interpolation of each channel of spectral data to generate corrected spectral data.

Abstract: Systems and methods for generating high dynamic images from interleaved Bayer array data with high spatial resolution and reduced sampling artifacts. Bayer array data are demosaiced into components of the YUV color space before deinterleaving. The Y component and the UV components can be derived from the Bayer array data through demosiac convolution processes. A respective convolution is performed between a convolution kernel and a set of adjacent pixels of the Bayer array that are in the same color channel. A convolution kernel is selected based the mosaic pattern of the Bayer array and the color channels of the set of adjacent pixels. The Y data and UV data are deinterleaved and interpolated into frames of short exposure and long exposures in the second color space. The short exposure and long exposure frames are then blended and converted back to a RGB frame representing a high dynamic range image.

Abstract: According to various embodiments, the system and method of the present invention process light-field image data so as to reduce color artifacts, reduce projection artifacts, and/or increase dynamic range. These techniques operate, for example, on image data affected by sensor saturation and/or microlens modulation. Flat-field images are captured and converted to modulation images, and then applied on a per-pixel basis, according to techniques described herein.

Abstract: According to various embodiments, the system and method of the present invention process light-field image data so as to reduce color artifacts, reduce projection artifacts, and/or increase dynamic range. These techniques operate, for example, on image data affected by sensor saturation and/or microlens modulation. Flat-field images are captured and converted to modulation images, and then applied on a per-pixel basis, according to techniques described herein.

Abstract: Embodiments of the present invention are operable to perform automatic white balancing operations on images captured by a camera system through the use of weights derived through crowdsourcing procedures. Embodiments of the present invention use crowdsourced weight data resident on the camera system in combination with sampled image data of a captured image to determine a likely illuminant source. When performing automatic white balancing operations on the captured image, embodiments of the present invention may also compute a confidence score which may present the user with a choice to either use the likely illuminant determined using the crowdsourced weights or the camera system's default or normal automatic white balancing correction algorithm.

Abstract: Embodiments of the present invention are operable to generate a set of weights derived through crowdsourcing procedures for use in automatically performing white balancing operations on images captured by a digital camera system. Embodiments of the present invention are operable to generate a set of images which are illuminated with known and different illuminants. Using crowdsourcing procedures, embodiments of the present invention gather user feedback concerning which images from the set of images adjusted by the known illuminants are considered to be the most aesthetically pleasing. Images selected by the users are then stored within a database of selected images. Using a learning engine, embodiments of the present invention may then produce a set of weights based on the user selected images for use in determining a likely illuminant when performing automatic white balancing operations performed on the camera system.

Abstract: Early Z scoreboard tracking systems and methods in accordance with the present invention are described. Multiple pixels are received and a pixel depth raster operation is performed on the pixels. The pixel depth raster operation comprises discarding a pixel that is occluded. In one exemplary implementation, the depth raster operation is done at a faster rate than a color raster operation. Pixels that pass the depth raster operation are checked for screen coincidence. Pixels with screen coincidence are stalled and pixels without screen coincidence are forwarded to lower stages of the pipeline. The lower stages of the pipeline are programmable and pixel flight time can vary (e.g., can include multiple passes through the lower stages). Execution through the lower stages is directed by a program sequencer which also directs notification to the pixel flight tracking when a pixel is done processing.

Abstract: A system and method for correcting image data. Embodiments of the present invention provide calibration and image correction to overcome various lens effects including lens shading and lens imperfections. In one embodiment, the correction of image data is performed via utilization of a spline surface (e.g., Bezier surface). The use of spline surfaces facilitates efficient hardware implementation. The image correction may be performed on a per channel and illumination type basis. In another embodiment, the present invention provides a method for determine a spline surface to be used for calibrating an image signal processor to be used in correcting image data.

Abstract: A system and method for correcting image data. Embodiments of the present invention provide calibration and image correction to overcome various lens effects including lens shading and lens imperfections. In one embodiment, the correction of image data is performed via utilization of a spline surface (e.g., Bezier surface). The use of spline surfaces facilitates efficient hardware implementation. The image correction may be performed on a per channel and illumination type basis. In another embodiment, the present invention provides a method for determine a spline surface to be used for calibrating an image signal processor to be used in correcting image data.

Abstract: A system and method for correcting image data. Embodiments of the present invention provide image correction to overcome various lens effects, optical crosstalk, and electrical crosstalk. In one embodiment, the method includes accessing, within an electronic system, a plurality of control points for a patch of a spline surface and calculating a plurality of intermediate control points corresponding to a row of pixels of the patch. The method further includes receiving a pixel of an image and correcting the pixel based on the plurality of intermediate control points in streaming scanline column-wise or row-wise order.

Abstract: Embodiments of the claimed subject matter are directed to methods for automatic white balancing in an image-capture device. In one embodiment, given an estimated illuminant color (e.g., derived from the Gray World method), a more optimal illuminant color can be found by projecting this point to a plot of common illuminants to determine the closest point on the plot of common illuminants. Once the closest point of the plot of common illuminants is derived, the actual image (e.g., pixel) data of the scene is adjusted by the value of the closest point on the plot of common illuminants so that the light is normalized for the scene.

Abstract: An apparatus and method for translating fixed function state into a shader program. Fixed function state is received and stored and when a new shader program is detected the fixed function state is translated into shader program instructions. Registers specified by the program instructions are allocated for processing in the shader program. The registers may be remapped for more efficient use of the register storage space.

Abstract: An apparatus and method for translating fixed function state into a shader program. Fixed function state is received and stored and when a new shader program is detected the fixed function state is translated into shader program instructions. Registers specified by the program instructions are allocated for processing in the shader program. The registers may be remapped for more efficient use of the register storage space.

Abstract: An apparatus and method for translating fixed function state into a shader program. Fixed function state is received and stored and when a new shader program is detected the fixed function state is translated into shader program instructions. Registers specified by the program instructions are allocated for processing in the shader program. The registers may be remapped for more efficient use of the register storage space.

Abstract: Embodiments of the claimed subject matter are directed to methods for automatic white balancing in an image-capture device. In one embodiment, given an estimated illuminant color (e.g., derived from the Gray World method), a more optimal illuminant color can be found by projecting this point to a plot of common illuminants to determine the closest point on the plot of common illuminants. Once the closest point of the plot of common illuminants is derived, the actual image (e.g., pixel) data of the scene is adjusted by the value of the closest point on the plot of common illuminants so that the light is normalized for the scene.