Duelight LLC

Vudu, Inc.

Silicon Graphics, Incorporated

Marquee, Inc.

Marguee, Inc.

Brian J Kindle

Adam Barry Feder

William Guie Rivard

Dan Harden

Bob Riccomini

Afshin Mehin

Zahid S Hussain

Michael J Nielsen

Linda S Gardner

Gilbert Flamino

Prasanna Ganesan

Prasana Ganesan

A system, method, and computer program product for generating a digital image is disclosed. In use, a first image and a second image are received from a first image sensor, where the first image sensor detects wavelengths of a visible spectrum. A third image and a fourth image are received from a second image sensor, where the second image sensor detects wavelengths of a non-visible spectrum. Using an image processing subsystem, a resulting image is generated by combining one of the first image or the second image, with one of the third image or the fourth image.

Systems and methods for generating a digital image

A system, method, and computer program product are provided for high-dynamic range images. In use, a first pixel attribute of a first pixel is received and a second pixel attribute of a second pixel is received. Next, a scalar based on the first pixel attribute and the second pixel attribute is identified. Finally, the first pixel and the second pixel are blended, based on the scalar, wherein the first pixel is brighter than the second pixel. Additional systems, methods, and computer program products are also presented.

Systems and methods for high-dynamic range images

A system, method, and computer program product for generating a resulting image from a set of images is disclosed. The method comprises receiving an image set that includes a first image of a photographic scene based on a first set of sampling parameters and a second image of the photographic scene based on a second set of sampling parameters, and generating a resulting image based on the first image and the second image according to depth values in a selection depth map. Each distinct depth value in the selection depth map corresponds to a different image in the image set.

System and method for generating a digital image

Systems and methods for generating a high-dynamic range (HDR) pixel stream

A system, method, and computer program product are provided for exchanging images. In use, one or more images are received at a server. Additionally, the one or more images are analyzed. Further, image processing code is outputted referencing the one or more images, based on the analysis of the one or more images. Additional systems, methods, and computer program products are also presented.

System, method, and computer program product for exchanging images

A technique for generating a digital photograph comprises blending two related images, each sampled according to a different illumination environment. The two related images are blended according to a blend surface function that includes a height discontinuity separating two different blend weight regions. Color consistency between the two related images is achieved by spatial color correction prior to blending. The technique enables a digital camera to generate a strobe image having an appearance of consistent color despite discordant strobe and ambient scene illumination.

Color balance in digital photography

A system, method, and computer program product are provided for sharing data based on an adjusted bandwidth consumption. In use, a first sharing action is received by a network carrier system by a first device for one or more data items. Additionally, it is determined, by the network carrier system, that the first sharing action satisfies an exclusion criteria. The first sharing action is performed by the network carrier system, where the first sharing action comprises streaming the one or more data items to the first device, and data transmitted to the first device in connection with the first sharing action is excluded from a data plan usage calculated by the network carrier system for the first device.

System and method for sharing data based on a combined bandwidth consumption

A system, method, and computer program product are provided for obtaining multiple exposures with zero interframe time. In use, an analog signal associated with an image associated with an image of an image sensor is received. Amplified analog signals associated with the image are generated by amplifying the analog signal utilizing gains. The amplified analog signals are transmitted to analog-to-digital converter circuits. The amplified analog signals are converted to digital signals utilizing the analog-to-digital converter circuits. The digital signals are combined to create a high dynamic range (HDR) image.

Image sensor apparatus and method for obtaining multiple exposures with zero interframe time

A system, method, and computer program product are provided for generating a focus sweep to produce a focus stack. In use, an image is sampled as image data. Next, a first focus region is identified and a second focus region is identified. Next, first focus target information corresponding to the first focus region is determined and second focus target information corresponding to the second focus region is determined. Further, a focus is adjusted, based on the first focus target information and at least one first image is captured based on the first focus target information. Additionally, the focus is adjusted, based on the second focus target information and at least one second image is captured based on the second focus target information. Lastly, the at least one first image and the at least one second image are saved to an image stack. Additional systems, methods, and computer program products are also presented.

Systems and methods for adjusting focus based on focus target information

A system, method, and computer program product are provided for rendering a combined image. In use, two or more source images including at least one strobe image and at least one ambient image are loaded. A pixel-level correction is estimated for at least one of the two or more source images based on a pixel level correction function. At least one pixel of the two or more source images is color-corrected based on the pixel-level correction. A first blend weight associated with the two or more source images is initialized, and a first combined image from the two or more source images is rendered based on the color-correction and the first blend weight. Additional systems, methods, and computer program products are also presented.

Systems and methods for digital photography

A system and method are provided for capturing an image with correct skin tone exposure. In use, one or more faces are detected having threshold skin tone within a scene. Next, based on the detected one or more faces, the scene is segmented into one or more face regions and one or more non-face regions. A model of the one or more faces is constructed based on a depth map and a texture map, the depth map including spatial data of the one or more faces, and the texture map includes surface characteristics of the one or more faces. The one or more images of the scene are captured based on the model. Further, in response to the capture, the one or more face regions are processed to generate a final image.

System, method, and computer program for capturing an image with correct skin tone exposure

A system, method, and computer program are provided for receiving face models based on face nodal points. In use, a real-time face model is received, wherein the real-time face model includes one or more face nodal points. Real-time face nodal points are received, including additional one or more face nodal points. The real-time face model is manipulated based on the real-time face nodal points.

System, method, and computer program for transmitting face models based on face data points

A system and method are provided for optimizing histogram cumulative distribution function curves. In use, a first cumulative distribution function for a first histogram of a first pixel region of a first image is computed, and a first set of parameters for the first cumulative distribution function is extracted. A second cumulative distribution function for a second histogram of a second pixel region of the first image is computed, and a second set of parameters for the second cumulative distribution function is extracted. An interpolated cumulative distribution function comprising interpolated parameters calculated by interpolating between the first set of parameters and the second set of parameters is created. Additionally, a first equalized pixel in a second image based on a first input pixel in the first image and the interpolated cumulative distribution function is generated.

System, method, and computer program for adjusting image contrast using parameterized cumulative distribution functions

A system, method, and computer program product are provided for performing high dynamic range mixing on a pixel stream. In use, a pixel stream including at least two exposures per pixel from a plurality of pixels of an image sensor is received. A first pixel attribute of a first exposure of the pixel is identified, and a second pixel attribute of a second exposure of the pixel is identified. A first high dynamic range (HDR) pixel is generated by performing HDR mixing on the first exposure of the pixel and the second exposure of the pixel, based on the first pixel attribute, and the second pixel attribute. Additionally, an HDR pixel stream is generated comprising at least the first HDR pixel, and the HDR pixel stream is outputted.

Growing community of inventors

Sunnyvale, CA, United States of America

Brian J Kindle