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 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: 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.