Abstract: In some embodiments, an electronic device for compressing video image data includes a housing, an image sensor, a memory device, and one or more processors. The image sensor can generate image data from light incident on the image sensor. The one or more processors can transform the image data to obtain transform coefficients, quantize the transform coefficients, encode the quantized transform coefficients, and store the quantized transform coefficients to the memory device. The one or more processors can encode the quantized transform coefficients at least by determining a range of multiple ranges in which one transform coefficient is included, determining a value within the range to which the one transform coefficient corresponds, encoding using a first algorithm the range as a range code, and encoding using a second algorithm the value as a value code.

Abstract: In some embodiments, an electronic device for compressing video image data includes a housing, an image sensor, a memory device, and one or more processors. The image sensor can generate image data from light incident on the image sensor. The one or more processors can transform the image data to obtain transform coefficients, quantize the transform coefficients, encode the quantized transform coefficients, and store the quantized transform coefficients to the memory device. The one or more processors can encode the quantized transform coefficients at least by determining a range of multiple ranges in which one transform coefficient is included, determining a value within the range to which the one transform coefficient corresponds, encoding using a first algorithm the range as a range code, and encoding using a second algorithm the value as a value code.

Abstract: In some embodiments, an electronic device for compressing video image data includes a housing, an image sensor, a memory device, and one or more processors. The image sensor can generate image data from light incident on the image sensor. The one or more processors can transform the image data to obtain transform coefficients, quantize the transform coefficients, encode the quantized transform coefficients, and store the quantized transform coefficients to the memory device. The one or more processors can encode the quantized transform coefficients at least by determining a range of multiple ranges in which one transform coefficient is included, determining a value within the range to which the one transform coefficient corresponds, encoding using a first algorithm the range as a range code, and encoding using a second algorithm the value as a value code.

Abstract: In some embodiments, an electronic device for compressing video image data includes a housing, an image sensor, a memory device, and one or more processors. The image sensor can generate image data from light incident on the image sensor. The one or more processors can transform the image data to obtain transform coefficients, quantize the transform coefficients, encode the quantized transform coefficients, and store the quantized transform coefficients to the memory device. The one or more processors can encode the quantized transform coefficients at least by determining a range of multiple ranges in which one transform coefficient is included, determining a value within the range to which the one transform coefficient corresponds, encoding using a first algorithm the range as a range code, and encoding using a second algorithm the value as a value code.

Abstract: A still or motion imaging device generates a plurality of image frames with a sensor and processes frames to generate an output image frame. The imaging device can apply some or all of de-noising, resolution enhancement, high dynamic range processing, image development functions, pre-emphasis, and compression to the image frames, while deferring tonal processing.

Abstract: In some embodiments, an electronic device for compressing video image data includes a housing, an image sensor, a memory device, and one or more processors. The image sensor can generate image data from light incident on the image sensor. The one or more processors can transform the image data to obtain transform coefficients, quantize the transform coefficients, encode the quantized transform coefficients, and store the quantized transform coefficients to the memory device. The one or more processors can encode the quantized transform coefficients at least by determining a range of multiple ranges in which one transform coefficient is included, determining a value within the range to which the one transform coefficient corresponds, encoding using a first algorithm the range as a range code, and encoding using a second algorithm the value as a value code.

Abstract: In some embodiments, an electronic device for compressing video image data includes a housing, an image sensor, a memory device, and one or more processors. The image sensor can generate image data from light incident on the image sensor. The one or more processors can transform the image data to obtain transform coefficients, quantize the transform coefficients, encode the quantized transform coefficients, and store the quantized transform coefficients to the memory device. The one or more processors can encode the quantized transform coefficients at least by determining a range of multiple ranges in which one transform coefficient is included, determining a value within the range to which the one transform coefficient corresponds, encoding using a first algorithm the range as a range code, and encoding using a second algorithm the value as a value code.

Abstract: In some embodiments, an electronic device for compressing video image data includes a housing, an image sensor, a memory device, and one or more processors. The image sensor can generate image data from light incident on the image sensor. The one or more processors can transform the image data to obtain transform coefficients, quantize the transform coefficients, encode the quantized transform coefficients, and store the quantized transform coefficients to the memory device. The one or more processors can encode the quantized transform coefficients at least by determining a range of multiple ranges in which one transform coefficient is included, determining a value within the range to which the one transform coefficient corresponds, encoding using a first algorithm the range as a range code, and encoding using a second algorithm the value as a value code.

Abstract: A mobile device is provided comprising a housing, at least two cameras supported by the housing and arranged to capture image data and a multi-view display. The multi-view display may be a lightfield display and may comprise a diffractive lightfield backlighting system. The multi-view display may be configured to display multi-view video derived from image data captured by the at least two cameras and optionally operate in at least one of a multi-view mode or a multi-dimensional display mode.

Abstract: Disclosed is a housing for a portable handheld electronic device such as a cellphone. The device has a housing, having a left side and right side. The housing can be layered, such as in a sandwich configuration. The layers can be secured together via one or more fasteners that extend through at least front and rear plates of the housing.

Abstract: Modular digital camera systems are disclosed. The modular digital camera system can include a brain module configured to be releasably coupled to one or more of a port extender module, power module, display module, and handle module. The brain module and other accessory modules can be structured according to some embodiments to increase an ease of coupling and decoupling the modules.

Abstract: Embodiments provide a video camera that can be configured to allow tagging of recorded video and/or capture of video segments or sequences of images in response to user actuation of a camera control identifying an event of interest. For example, a user may press a button on the camera when an event of interest occurs, and in response the camera may tag a captured video file at a timestamp corresponding to the event. In another example, the user may initiate capture of video segments or sequences of images at an occurrence of an event of interest by pressing a button. The camera may include an image data buffer that may enable capture of video segments and/or sequences of images occurring before the user initiates capture of the event. User interfaces may enable the user to quickly review the captured video or sequences of images of the events of interest.