Ringo Ai, Inc.

Lumenetix, Inc.

Other

Jeffrey Saake

Matthew D Weaver

Jay Hurley

James Kingman

Sanjoy Ghose

Susan Lopes

Introduced here are computer programs and associated computer-implemented techniques for achieving high-fidelity color reproduction in the absence of any known reflectance spectrums. That is, high-fidelity color reproduction can be achieved without portable references, such as gray cards and color checkers. To accomplish this, a new reference spectrum—the 'reference illuminant spectrum'—is introduced into scenes to be imaged by image sensors. The reference illuminant spectrum is created by a multi-channel light source whose spectral properties are known.

White balance with reference illuminants

Introduced here are light sources for flash photography configured to produce high-fidelity white light that is tunable over a broader range of correlated color temperatures (CCTs) than conventional flash technologies. The light source can include multiple independently controllable color channels representing illuminants (e.g., light-emitting diodes) of different colors with varying degrees of saturation. Operating collectively, the multiple color channels can produce a high spectral quality white light corresponding to different CCTs (e.g., 'warm' white light having a red hue, 'cool' white light having a blue hue). Operating independently, these same color channels can be pre-flashed in a variety of prescribed sequences to probe the spectral characteristics of a scene, thereby allowing for an enhanced, spectrally matched white flash as well as collecting per-pixel reflectivity data that can be later used in during post processing of the captured image.

Full-spectrum flash for electronic devices

Introduced here are multi-channel light sources able to produce a broad range of electromagnetic radiation. A multi-channel light source (also referred to as a 'multi-channel emitter') can be designed to produce visible light and/or non-visible light. For example, some embodiments of the multi-channel light source include illuminant(s) capable of emitting electromagnetic radiation within the visible range and illuminant(s) capable of emitting electromagnetic radiation in a non-visible range, such as the ultraviolet range or infrared range. By capturing images in conjunction with the visible and non-visible light, additional information on the ambient scene can be gleaned which may be useful, for example, during post-processing.

Electromagnetic emitters and detectors for electronic devices

Introduced here are computer programs and associated computer-implemented techniques for determining reflectance of an image on a per-pixel basis. More specifically, a characterization module can initially acquire a first data set generated by a multi-channel light source and a second data set generated by a multi-channel image sensor. The first data set may specify the illuminance of each channel of the multi-channel light source (which may be able to produce visible light and/or non-visible light), while the second data set may specify the response of each sensor channel of the multi-channel image sensor (which is configured to capture an image in conjunction with the light). Thus, the characterization module may determine reflectance based on illuminance and sensor response. The characterization module may also be configured to determine illuminance based on reflectance and sensor response, or determine sensor response based on illuminance and reflectance.

Determining spectral properties of an object through sequential illumination with different colors

Introduced here are computer programs and associated computer-implemented techniques for determining reflectance of an image on a per-pixel basis. More specifically, a characterization module can initially acquire a first data set generated by a multi-channel light source and a second data set generated by a multi-channel image sensor. The first data set may specify the illuminance of each color channel of the multi-channel light source (which is configured to produce a flash), while the second data set may specify the response of each sensor channel of the multi-channel image sensor (which is configured to capture an image in conjunction with the flash). Thus, the characterization module may determine reflectance based on illuminance and sensor response. The characterization module may also be configured to determine illuminance based on reflectance and sensor response, or determine sensor response based on illuminance and reflectance.

Techniques for creating characterization matrices for reflectance, illuminance, or sensor response

Characterizing reflectance, illuminance, and sensor response for electromagnetic radiation

A reusable pizza container configured to enclose a hot pizza for temporary storage or transport and to prevent moisture from entering into the top, bottom or side surfaces of the pizza. The container has a lid, a removable Vapor Transport Mechanism, and a bottom. The lid facilitates convection heat flow and the flow of moisture along the interior sides of the lid. Raised radial ribs enable the lids to be stacked. The raised radial ribs in the lid have perforations to allow hot vapor to escape and minimize moisture within the enclosed area. The lid nests securely into the bottom to prevent dislodging of moisture during transport. The removable Vapor Transport Mechanism (VTM), a micromesh membrane that fits within the lid, allows vapor to pass upwards through the membrane but prevents moisture from dripping downwards onto the upper pizza surface. The bottom has an interior moat that collects the moisture that flows along the interior sides of the lid to prevent it from entering the sides of the pizza thereby preventing moisture from entering the bottom surface of the pizza. The bottom has raised circular domes to elevate the pizza above the surface and to prevent moisture from entering the bottom surface of the pizza.

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San Francisco, CA, United States of America

Jeffrey Saake