Abstract: A method for dynamic calibration correction in multi-frame, multi-exposure capture in a camera system includes receiving an amplified non-reference frame (e.g., with non-standard exposure value EV-4) to which a digital gain was applied and a reference frame (e.g., with standard exposure value EV0). The method includes generating a mask based on the reference frame and the amplified non-reference frame. The method includes estimating a scaling coefficient and an offset coefficient for each of a number of channels in the amplified non-reference frame, based on selected pixel locations in the generated mask. The method includes correcting a calibration of the amplified non-reference frame by applying the scaling coefficients for each of the channels. The method also includes outputting a calibration-corrected amplified non-reference frame to a multi-frame processor.

Abstract: A method includes obtaining a reference image frame and a non-reference image frame and generating a mask based on the reference image frame and the non-reference image frame. The method also includes determining a scaling coefficient and an offset coefficient for each of multiple color channels of the non-reference image frame based on pixels in the reference image frame and pixels in the non-reference image frame that are identified by the mask. The method further includes applying the scaling and offset coefficients to the non-reference image frame in order to generate a calibration-corrected non-reference image frame.

Abstract: An electronic device includes a processor configured to estimate green values at red and blue pixel locations of an input Bayer frame based on green values at green pixel locations of the input Bayer frame. The processor is also configured to generate red, green, and blue channels of joint demosaiced-warped output RGB pixels from the input Bayer frame based on the green values at the green pixel locations, the estimated green values at the red and blue pixel locations, an alignment vector map, and kernels for red, green, and blue pixels.

Abstract: The present disclosure describes devices and methods for generating RGB images from Bayer filter images using adaptive sub-pixel spatiotemporal interpolation. An electronic device includes a processor configured to estimate green values at red and blue pixel locations of an input Bayer frame based on green values at green pixel locations of the input Bayer frame and a kernel for green pixels, generate a green channel of a joint demosaiced-warped output RGB pixel from the input Bayer frame based on the green values at the green pixel locations, the kernel for green pixels, and an alignment vector map, and generate red and blue channels of the joint demosaiced-warped output RGB pixel from the input Bayer frame based on the estimated green values at the red and blue pixel locations, kernels for red and blue pixels, and the alignment vector map.

Abstract: The present disclosure describes devices and methods for generating RGB images from Bayer filter images using adaptive sub-pixel spatiotemporal interpolation. An electronic device includes a processor configured to estimate green values at red and blue pixel locations of an input Bayer frame based on green values at green pixel locations of the input Bayer frame and a kernel for green pixels, generate a green channel of a joint demosaiced-warped output RGB pixel from the input Bayer frame based on the green values at the green pixel locations, the kernel for green pixels, and an alignment vector map, and generate red and blue channels of the joint demosaiced-warped output RGB pixel from the input Bayer frame based on the estimated green values at the red and blue pixel locations, kernels for red and blue pixels, and the alignment vector map.

Abstract: A method for dynamic calibration correction in multi-frame, multi-exposure capture in a camera system includes receiving an amplified non-reference frame (e.g., with non-standard exposure value EV-4) to which a digital gain was applied and a reference frame (e.g., with standard exposure value EV0). The method includes generating a mask based on the reference frame and the amplified non-reference frame. The method includes estimating a scaling coefficient and an offset coefficient for each of a number of channels in the amplified non-reference frame, based on selected pixel locations in the generated mask. The method includes correcting a calibration of the amplified non-reference frame by applying the scaling coefficients for each of the channels. The method also includes outputting a calibration-corrected amplified non-reference frame to a multi-frame processor.

Abstract: Aspects of the present disclosure are drawn to a system and method for efficiently addressing the lens distortion problem in digital imaging. Aspects include a coarse mapping of the output pixel location position, further fine mapping of the pixel location position and interpolation of the pixel data. The coarse mapping of the output pixel location position and the fine mapping of the pixel location position are drawn to a back-mapping of output pixel location positions to the corresponding input pixel location positions.