News Column

"Determining Exposure Times Using Split Paxels" in Patent Application Approval Process

July 8, 2014



By a News Reporter-Staff News Editor at Information Technology Newsweekly -- A patent application by the inventor Geiss, Ryan (Mountain View, CA), filed on December 18, 2012, was made available online on June 26, 2014, according to news reporting originating from Washington, D.C., by VerticalNews correspondents.

This patent application is assigned to Google Inc.

The following quote was obtained by the news editors from the background information supplied by the inventors: "Generally, imaging may refer to representing the color and brightness characteristics of digital images. Low dynamic range (LDR) imaging may represent digital images (e.g., photographs and motion video) with 8 or fewer bits for each color channel of a pixel. As a result, up to 256 levels of brightness may be supported. Currently, a wide range of video output devices (e.g., computer monitors, tablet and smartphone screens, televisions, etc.) support displaying LDR images.

"However, real-world scenes often exhibit a wider range of brightness than can be represented by LDR imaging. As an example scene with a wide brightness range, consider an individual standing in a dark room in front of a window. This scene may include both extremely bright regions (e.g., sunlit features outside the window) and extremely dark regions (e.g., the features in the room). Ideally, a photograph of this scene would include both the details in the bright regions and the details in the dark regions."

In addition to the background information obtained for this patent application, VerticalNews journalists also obtained the inventor's summary information for this patent application: "In a first example embodiment, a first plurality of images of a scene may be captured. Each image of the first plurality of images may be captured with a different total exposure time (TET). Based at least on the first plurality of images, a TET sequence may be determined for capturing further images of the scene. A second plurality of images of the scene may be captured. Images in the second plurality of images may be captured using the TET sequence. Based at least on the second plurality of images, an output image of the scene may be constructed.

"In a second example embodiment, a first plurality of images of a scene may be captured. Each image of the first plurality of images may be captured using a different TET. Based at least on the first plurality of images, a long TET, a short TET, and a TET sequence that includes the long TET and the short TET may be determined. A second plurality of images of the scene may be captured. The images in the second plurality of images may be captured using a sequence of TETs corresponding to the TET sequence. Based on one or more images in the second plurality of images, an output image may be constructed.

"In a third example embodiment, a plurality of images of a scene may be captured. Each image of the plurality of images may be captured using a different TET. The images in the plurality of images may be downsampled. A pixel value histogram based on pixel values of the downsampled images may be constructed. The pixel value histogram may be compared to one or more reference pixel value histograms. A payload TET may be determined based on comparing the pixel value histogram to the one or more reference pixel value histograms.

"A fourth example embodiment may include a non-transitory computer-readable storage medium, having stored thereon program instructions that, upon execution by a computing device, cause the computing device, and/or its peripherals, to perform operations in accordance with the first, second, and/or third example embodiments.

"A fifth example embodiment may include a computing device, comprising at least a processor, an image sensor, and data storage. The data storage may contain program instructions that, upon execution by the processor, cause the computing device operate in accordance with the first, second, and/or third example embodiments.

"These as well as other aspects, advantages, and alternatives will become apparent to those of ordinary skill in the art by reading the following detailed description with reference where appropriate to the accompanying drawings. Further, it should be understood that the description provided in this summary section and elsewhere in this document is intended to illustrate the claimed subject matter by way of example and not by way of limitation.

BRIEF DESCRIPTION OF THE FIGURES

"FIG. 1 depicts front, right side, and rear views of a digital camera device, in accordance with an example embodiment.

"FIG. 2 depicts a block diagram of a computing device with image capture capability, in accordance with an example embodiment.

"FIG. 3 depicts a flow chart, in accordance with an example embodiment.

"FIG. 4A depicts creating a histogram from one or more captured images, in accordance with an example embodiment.

"FIG. 4B depicts a training image database, in accordance with an example embodiment.

"FIG. 5 depicts payload burst structures for capturing images, in accordance with an example embodiment.

"FIG. 6 depicts a flow chart, in accordance with an example embodiment.

"FIG. 7 depicts another flow chart, in accordance with an example embodiment.

"FIG. 8A depicts split paxel downsampling, in accordance with an example embodiment.

"FIG. 8B also depicts split paxel downsampling, in accordance with an example embodiment.

"FIG. 8C depicts creating a histogram from one or more captured images, in accordance with an example embodiment.

"FIG. 9 depicts still another flow chart, in accordance with an example embodiment."

URL and more information on this patent application, see: Geiss, Ryan. Determining Exposure Times Using Split Paxels. Filed December 18, 2012 and posted June 26, 2014. Patent URL: http://appft.uspto.gov/netacgi/nph-Parser?Sect1=PTO2&Sect2=HITOFF&u=%2Fnetahtml%2FPTO%2Fsearch-adv.html&r=5312&p=107&f=G&l=50&d=PG01&S1=20140619.PD.&OS=PD/20140619&RS=PD/20140619

Keywords for this news article include: Google Inc., Information Technology, Information and Data Storage.

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Source: Information Technology Newsweekly


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