Red.com, Inc.

Uday Mathur

James H Jannard

Peter Jarred Land

Thomas Graeme Nattress

Bimal Mathur

Deanan DaSilva

Richard Greene

Graeme Nattress

Mark W Rossman

Matthew S Biederman

Embodiments provide a video camera that can be configured to highly compress video data in a visually lossless manner. The camera can be configured to transform blue, red, and/or green image data in a manner that enhances the compressibility of the data. The camera can be configured to transform at least a portion of the green image data in a manner that enhances the compressibility of the data. The data can then be compressed and stored in this form. This allows a user to reconstruct the red, blue, and/or green image data to obtain the original raw data or a modified version of the original raw data that is visually lossless when demosaiced. Additionally, the data can be processed in a manner in which at least some of the green image elements are demosaiced first and then the red, blue, and/or some green elements are reconstructed based on values of the demosaiced green image elements.

Green image data processing

A broadcast module for a modular video camera is disclosed. The broadcast module is configured to generate a plurality of data streams formatted for broadcast purposes. Each data stream can represent a reduced-resolution representation of the video data captured with the video camera or each data stream can represent a fraction of a full-resolution portion of the video data captured with video camera. The broadcast module can apply color processing to a raw digital video stream to enable real-time previews on one or more monitors of captured video data. The broadcast module can also apply color processing to a raw digital video stream to enable storage of processed video data.

Broadcast module for a digital camera

Certain cameras and systems described herein produce enhanced dynamic range still or video images. The images can also have controlled or reduced motion artifacts. Moreover, the cameras and systems in some cases allow the dynamic range and/or motion artifacts to be tuned to achieve a desired cinematic effect.

Multi-exposure imaging

Embodiments provide a video camera that can be configured to highly compress video data in a visually lossless manner. The camera can be configured to transform blue, red, and/or green image data in a manner that enhances the compressibility of the data. The camera can be configured to transform at least a portion of the green image data in a manner that enhances the compressibility of the data. The data can then be compressed and stored in this form. This allows a user to reconstruct the red, blue, and/or green image data to obtain the original raw data or a modified version of the original raw data that is visually lossless when demosacied. Additionally, the data can be processed in a manner in which at least some of the green image elements are demosaiced first and then the red, blue, and/or some green elements are reconstructed based on values of the demosaiced green image elements.

Green average subtraction in image data

Multi-exposure video

High dynamic range video

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Los Angeles, CA, United States of America

Uday Mathur