Abstract: An imaging device includes a pixel array including a plurality of pixels. Each pixel includes a photoelectric conversion region that converts incident light into electric charge, and a first transfer transistor coupled to a first floating diffusion and the photoelectric conversion region. The imaging device includes a first driving circuit to control the plurality of pixels in an imaging mode to generate a color image, and a second driving circuit to control the plurality of pixels in a depth mode to generate a depth image.

Abstract: An insulation system for a concrete block having an open end and a closed end, the insulation system including a single sheet of a foam material configured to have opposite end portions with a middle portion intermediate the end portions and a hinge defined between each of the end portions and the middle portion to enable the sheet to be folded so that the middle portion is disposed perpendicular to the end portions to render the sheet in a u-shaped orientation so as to be insertable into the open end of the concrete block; and a panel of foam material configured as a rectangle to conform to the closed end of the concrete block. The sheet of foam material is sized to provide a snug interference fit with the open end of the concrete block when folded into the u-shaped orientation and the panel is sized to provide a snug interference fit with the closed end of the concrete block. The sheet of foam material and the panel of foam material are each made of a closed cell flexible foam.

Abstract: An image sensor comprises a pixel circuit including a reset transistor and configured to output a pixel signal; and a differential comparator including a pixel input, a reference input, and a comparator output, wherein one of a source or a drain of the reset transistor is connected to the comparator output. In this manner, an active reset method may be incorporated in the image sensor.

Abstract: An image sensor comprises a pixel circuit including a reset transistor and configured to output a pixel signal; and a differential comparator including a pixel input, a reference input, and a comparator output, wherein one of a source or a drain of the reset transistor is connected to the comparator output. In this manner, an active reset method may be incorporated in the image sensor.

Abstract: An image sensor comprises a pixel circuit including a reset transistor and configured to output a pixel signal; and a differential comparator including a pixel input, a reference input, and a comparator output, wherein one of a source or a drain of the reset transistor is connected to the comparator output. In this manner, an active reset method may be incorporated in the image sensor.

Abstract: A system and method for scaling an image includes receiving raw image data comprising input pixel values which correspond to pixels of an image sensor, filtering pixels in a spatial domain, and filtering pixels in a frequency domain according to an oversampling ratio. The system and method may also include outputting scaled image data as output pixel values, which correspond to subgroups of the input pixel values. The filtering may be done according to a Bayer-consistent ruleset which includes a set of filter weights and a series of scaling rules. The oversampling ratio is set to minimize an error after the filtering in the spatial domain and the filtering in the frequency domain.

Abstract: A system and method for scaling an image includes receiving raw image data comprising input pixel values which correspond to pixels of an image sensor, filtering pixels in a spatial domain, and filtering pixels in a frequency domain according to an oversampling ratio. The system and method may also include outputting scaled image data as output pixel values, which correspond to subgroups of the input pixel values. The filtering may be done according to a Bayer-consistent ruleset which includes a set of filter weights and a series of scaling rules. The oversampling ratio is set to minimize an error after the filtering in the spatial domain and the filtering in the frequency domain.

Abstract: A system and method for scaling an image includes receiving raw image data comprising input pixel values which correspond to pixels of an image sensor; and filtering pixels according to a Bayer-consistent ruleset. The system and method may also include outputting scaled image data as output pixel values, which correspond to subgroups of the input pixel values. The Bayer-consistent ruleset includes a set of filter weights and a series of scaling rules. The Bayer-consistent ruleset results in a scaled image having a high degree of Bayer-consistency.

Abstract: A system and method of processing raw image pixel information includes an integrated decimation filter and raw image scaling filter. The decimation filter operates in the time domain; for example, to calculate a weighted average of time samples. The raw image scaling filter operates in the spatial domain; for example, to calculate a weighted average of spatial samples. The raw image pixel information is modulated by a sigma-delta analog-to-digital modulator.

Abstract: A system and method of processing raw image pixel information includes an integrated decimation filter and raw image scaling filter for a set of M columns of raw image pixel information. The decimation filter operates in the time domain; for example, to calculate a weighted average of time samples. The raw image scaling filter operates in the spatial domain; for example, to calculate a weighted average of spatial samples. The raw image pixel information is modulated by a sigma-delta analog-to-digital modulator. The system and method scale the raw image pixel information by a factor of 1/N. M and N are positive integers.

Abstract: A system and method of processing raw image pixel information includes an integrated decimation filter and raw image scaling filter for a set of M columns of raw image pixel information. The decimation filter operates in the time domain; for example, to calculate a weighted average of time samples. The raw image scaling filter operates in the spatial domain; for example, to calculate a weighted average of spatial samples. The raw image pixel information is modulated by a sigma-delta analog-to-digital modulator. The system and method scale the raw image pixel information by a factor of 1/N. M and N are positive integers.

Abstract: A system and method for scaling an image includes receiving raw image data comprising input pixel values which correspond to pixels of an image sensor; and filtering pixels according to a Bayer-consistent ruleset. The system and method may also include outputting scaled image data as output pixel values, which correspond to subgroups of the input pixel values. The Bayer-consistent ruleset includes a set of filter weights and a series of scaling rules. The Bayer-consistent ruleset results in a scaled image having a high degree of Bayer-consistency.

Abstract: A system and method of processing raw image pixel information includes an integrated decimation filter and raw image scaling filter. The decimation filter operates in the time domain; for example, to calculate a weighted average of time samples. The raw image scaling filter operates in the spatial domain; for example, to calculate a weighted average of spatial samples. The raw image pixel information is modulated by a sigma-delta analog-to-digital modulator.

Abstract: An image sensing device and image sensing method are described herein. By way of example, the imaging sensing device includes a two-dimensional array of light sensing elements, each light sensing element being configured to generate an output signal indicative of an intensity level of light impinging on the light sensing element, one or more analog-to-digital converters configured to digitize output signals read out from the array of light sensing elements to generate digital output pixel values, a control circuit configured to generate digital pixel reset values, and a compression module configured to receive the digital pixel reset values and to generate a compressed digital pixel reset value corresponding to each digital pixel reset value.

Abstract: The present invention relates to processes to produce nanocomposites. In particular, the invention relates to solution processes using organic solvents and mixtures of solvents to produce polymeric nanocomposites.

Abstract: An image sensing device and image sensing method are described herein. By way of example, the imaging sensing device includes a two-dimensional array of light sensing elements, each light sensing element being configured to generate an output signal indicative of an intensity level of light impinging on the light sensing element, one or more analog-to-digital converters configured to digitize output signals read out from the array of light sensing elements to generate digital output pixel values, a control circuit configured to generate digital pixel reset values, and a compression module configured to receive the digital pixel reset values and to generate a compressed digital pixel reset value corresponding to each digital pixel reset value.

Abstract: A nanocomposite of a halogenated elastomer and an inorganic, exfoliated clay, suitable for use as an air barrier, is disclosed. The halogenated elastomer can be a polymer comprising C4 to C7 isoolefin derived units, para-methylstyrene derived units, and para(halomethylstyrene) derived units, or can be a butyl-type rubber. The nanocomposite can be formed by contacting an aqueous slurry of inorganic clay with a polymer cement while agitating vigorously to form emulsions or micro-emulsions to intimately mix the inorganic clay and the elastomer. The nanocomposite so formed has improved air barrier properties and is suitable for use as an innerliner or innertube.

Abstract: A semi-automated method of replacing micropipettes using a micromanipulator is disclosed. A first micropipette is moved at a known angle from a work position to a distal position under automatic control of the micromanipulator. A replacement micropipette is then mounted in the micromanipulator and is moved under automatic control to a position proximate to the work position. The distance between the work position and the proximate position is substantially equal to the range of manufacturing variability of the micropipettes. The second micropipette is then moved by manual control of the micromanipulator from the proximate position to the work position by moving it in a linear path along the known angle so that the final approach to the work position can be visually monitored.