Abstract:
An imaging system includes a primary imager and plurality of 3A-control sensors. The primary imager has a first field of view and includes a primary image sensor and a primary imaging lens with a first optical axis. The primary image sensor has a primary pixel array and control circuitry communicatively coupled thereto. The plurality of 3A-control sensors includes at least one of a peripheral imager and a 3A-control sensor. The peripheral imager, if included, has a second field of view including (i) at least part of the first field of view and (ii) a phase-difference auto-focus (PDAF) sensor and a peripheral imaging lens, the PDAF sensor being separate from the primary image sensor. The 3A-control sensor, if included, is separate from the primary pixel array and communicatively connected to the control circuitry to provide one of auto-white balance and exposure control for the primary pixel array.
Abstract:
Light control for improved near infrared sensitivity and channel separation for an image sensor. In one embodiment, an image sensor includes: a plurality of photodiodes arranged in rows and columns of a pixel array; and a light filter layer having a plurality of light filters configured over the plurality of photodiodes. The light filter layer has a first side facing the plurality of photodiodes and a second side facing away from the first side. The image sensor also includes a color filter layer having a plurality of color filters configured over the plurality of photodiodes. The color filter layer has a first surface facing the second side of the light filter layer and a second surface facing away from the first layer. Individual micro-lenses are configured to direct incoming light through corresponding light filter and color filter onto the respective photodiode.
Abstract:
A method for determining exposure levels of an image-sensor pixel array includes (a) storing a first plurality of pixel values representing a first captured image, captured with the image sensor in an applied exposure configuration, each distinct region of the pixel array having a respective first exposure level, (b) determining pixel-value global statistics, (c) estimating, from the global statistics, a global pixel value of the first captured image, (d) determining, for each distinct region, a respective local statistics of the first pixel values, (e) assigning, to each distinct region, a respective scale factor based on the local statistics of the distinct region, (f) determining a refined exposure configuration including, for each distinct region, a second exposure level proportional to a product of its respective first exposure level and its respective scale factor, and (g) capturing second pixel values with the image sensor configured in the refined exposure configuration.
Abstract:
An imaging system includes a primary imager and plurality of 3A-control sensors. The primary imager has a first field of view and includes a primary image sensor and a primary imaging lens with a first optical axis. The primary image sensor has a primary pixel array and control circuitry communicatively coupled thereto. The plurality of 3A-control sensors includes at least one of a peripheral imager and a 3A-control sensor. The peripheral imager, if included, has a second field of view including (i) at least part of the first field of view and (ii) a phase-difference auto-focus (PDAF) sensor and a peripheral imaging lens, the PDAF sensor being separate from the primary image sensor. The 3A-control sensor, if included, is separate from the primary pixel array and communicatively connected to the control circuitry to provide one of auto-white balance and exposure control for the primary pixel array.
Abstract:
A system for brightness-sensitive automatic white balancing of an electronic color image includes a processor and a memory with (a) brightness-specific color-weighting maps each specifying illuminant-specific auto white balance parameters, (b) brightness range definitions respectively indicating applicability range of the brightness-specific color-weighting maps, and (c) instructions for white balancing the electronic color image according to scene brightness and based upon the brightness-specific color-weighting maps. A system for adaptive automatic white balancing of an electronic color image includes a processor and a memory having (a) a color-weighting map specifying a probability distribution of color ratios defining auto white balance parameters, the probability distribution composed of a plurality of illuminant-specific probability distributions respectively associated with a plurality of different spectral types of illuminant, and (b) instructions for processing one or more electronic color images to refine at least one of the plurality of illuminant-specific probability distributions.
Abstract:
An example method of multi-target automatic exposure and gain control based on pixel intensity distribution includes capturing a series of digital images with an image sensor. As the series of digital images are captured, exposure time and/or gain are adjusted to adjust a mean intensity value of the digital images until a target mean intensity value is reached. The method includes dynamically selecting the target mean intensity value from a plurality of target mean intensity values based on a relative number of pixels, in each captured digital image, that have an intensity value that falls outside a range of intensity values.
Abstract:
Quad photodiode microlens arrangements, and associated systems and methods. In one embodiment, a plurality of pixels are arranged in rows and columns of a pixel array disposed in a semiconductor material. The plurality of pixels includes green (G) pixels, red (R) pixels, blue (B) pixels and clear (C) pixels. Each pixel comprises a plurality of photodiodes that are configured to receive incoming light through an illuminated surface of the semiconductor material. A plurality of small microlenses are distributed over individual photodiodes of clear (C) pixels. A plurality of large microlenses are distributed over individual green (G) pixels. A diameter of the small microlenses is smaller than a diameter of the large microlenses.
Abstract:
An image sensor has a plurality of pixels arranged in a row direction and in a column direction. Each pixel comprises a color filter that has a portion with a low transmissivity and a portion with a high transmissivity, and a photoelectric conversion element that includes a first photoelectric conversion cell which receives light transmitting through the portion with the low transmissivity of the color filter, and a second photoelectric conversion cell which receives light transmitting through the portion with the high transmissivity of the color filter. The plurality of pixels are arranged such that positions of the portions with the low transmissivity for pixels of one color are identical among the plurality of pixels, and the portions with the low transmissivity are positioned adjacent to each other between adjacent pixels of different colors in the row direction only.
Abstract:
Light control for improved near infrared sensitivity and channel separation for an image sensor. In one embodiment, an image sensor includes: a plurality of photodiodes arranged in rows and columns of a pixel array; and a light filter layer having a plurality of light filters configured over the plurality of photodiodes. The light filter layer has a first side facing the plurality of photodiodes and a second side facing away from the first side. The image sensor also includes a color filter layer having a plurality of color filters configured over the plurality of photodiodes. The color filter layer has a first surface facing the second side of the light filter layer and a second surface facing away from the first layer. Individual micro-lenses are configured to direct incoming light through corresponding light filter and color filter onto the respective photodiode.
Abstract:
A method for demosaicing a raw image includes: (1) horizontally-interpolating a green channel formed of primary pixel-values Bg(x,y)g to yield a horizontally-interpolated green channel that includes both Bg(x,y)g and non-primary pixel-values Igh(x,y)r,b; (2) modifying each Igh(x,y)r,b, by horizontally-neighboring pixel-values, to yield a refined horizontally-interpolated green channel; (3) vertically-interpolating the green channel to yield a vertically-interpolated green channel that includes pixel-values Igv(x,y)r,b; (4) modifying each Igv(x,y)r,b by vertically-neighboring pixel-values, to yield a refined vertically-interpolated green channel; (5) generating a full-resolution green channel from the refined interpolated green channels and gradients thereof; (6) generating a full-resolution red channel by determining red pixel-values from a local-red mean value of neighboring pixel-values and the full-resolution green channel; (7) generating a full-resolution blue channel by determining pixel-values from a local-blue mean value of neighboring pixel-values and the full-resolution green channel; and (8) combining the full-resolution channels to yield a demosaiced raw image.