Abstract: In some embodiments, an image sensor is provided. The image sensor comprises a plurality of photodiodes arranged as a photodiode array. The photodiodes of the photodiode array are arranged into a first quadrant, a second quadrant, a third quadrant, and a fourth quadrant. A first polarization filter and a first telecentric lens are aligned with the first quadrant. A second polarization filter and a second telecentric lens are aligned with the second quadrant. A third polarization filter and a third telecentric lens are aligned with the third quadrant. A fourth telecentric lens is aligned with the fourth quadrant.

Abstract: An image sensor processor implemented method for retaining pixel intensity, comprising: receiving, by the image processor, a numerical value indicative of a corresponding pixel intensity; determining, by the image processor, whether a least significant portion of the received numerical value is equal to a predetermined numerical value; and responsive to determining the least significant portion of the received numerical value is equal to the predetermined numerical value, rounding, by the image processor, the received numerical value of the corresponding pixel intensity to a higher or lower value depending on a bit sequence, and if the least significant portion of the received numerical value is not equal to the predetermined value, rounding the received numerical value to the higher or lower value based on the received numerical value; and binning the rounded value.

Abstract: A method and apparatus for embedding a digital watermark in image content that is not visible to the human eye is performed on single-sensor digital camera images (often called ‘raw’ images) from a pixel-array. The raw image is transformed to generate preprocessed image coefficients, a watermark message is encrypted using a first key; the encrypted watermark message is randomized using a second key to form a watermark; and the watermark is embedded in randomly selected preprocessed image coefficients.

Abstract: In some embodiments, an image sensor is provided. The image sensor comprises a plurality of photodiodes arranged as a photodiode array. The photodiodes of the photodiode array are arranged into a first quadrant, a second quadrant, a third quadrant, and a fourth quadrant. A first polarization filter and a first telecentric lens are aligned with the first quadrant. A second polarization filter and a second telecentric lens are aligned with the second quadrant. A third polarization filter and a third telecentric lens are aligned with the third quadrant. A fourth telecentric lens is aligned with the fourth quadrant.

Abstract: A system comprising a polarization CMOS image sensor, at least one processor and a non-transitory computer-readable medium having computer-executable instructions stored thereon that, in response to execution by the at least one processor, cause the system to perform actions including receiving, from the polarization CMOS image sensor, polarization information and two-dimensional image information. The polarization information is processed using a machine learning model to generate an output that indicates whether the polarization information represents a valid biometric measurement of a physical feature of a subject.

Abstract: In some embodiments, an image sensor is provided. The image sensor comprises a plurality of photodiodes arranged as a photodiode array. The plurality of photodiodes includes a first set of photodiodes configured as phase detection photodiodes, and a second set of photodiodes configured as polarization detection photodiodes. In some embodiments, a controller is provided. The controller comprises circuitry configured to process signals from a first set of photodiodes of a photodiode array to obtain depth information; process signals from a second set of photodiodes of the photodiode array to obtain polarization information; process the polarization information to obtain an ambiguous set of surface normals; and process the ambiguous set of surface normals using the depth information to obtain a three-dimensional shape image.

Abstract: A system comprising a polarization CMOS image sensor, at least one processor and a non-transitory computer-readable medium having computer-executable instructions stored thereon that, in response to execution by the at least one processor, cause the system to perform actions including receiving, from the polarization CMOS image sensor, polarization information and two-dimensional image information. The polarization information is processed using a machine learning model to generate an output that indicates whether the polarization information represents a valid biometric measurement of a physical feature of a subject.

Abstract: In some embodiments, an image sensor is provided. The image sensor comprises a plurality of photodiodes arranged as a photodiode array. The plurality of photodiodes includes a first set of photodiodes configured as phase detection photodiodes, and a second set of photodiodes configured as polarization detection photodiodes. In some embodiments, a controller is provided. The controller comprises circuitry configured to process signals from a first set of photodiodes of a photodiode array to obtain depth information; process signals from a second set of photodiodes of the photodiode array to obtain polarization information; process the polarization information to obtain an ambiguous set of surface normals; and process the ambiguous set of surface normals using the depth information to obtain a three-dimensional shape image.