Abstract: On embodiment of the present invention sets forth a technique for automatically computing exposure parameters for a digital video camera (DVC) system. The exposure parameters include exposure gain, analog gain, and digital gain. Each frame is analyzed with respect to an image luma value. Exposure gain and analog gain are adjusted to reduce differences between a target image luma value and measured image luma values over sequential frames. Digital gain is adjusted with respect to each frame to reduce visually abrupt changes in sequentially captured video frames.

Abstract: Systems and methods for performing fast zero recovery with alpha blending with digital image stabilization implemented in a digital camera. The digital camera includes a gyroscope to measure motion of the digital camera and processes the signals from the gyroscope to track the total displacement of an image sensor over a series of frames of video. If the motion is a sustained motion in a substantially uniform direction, then the digital camera recognizes the motion as a panning-type motion and activates a fast-zero recovery with alpha blending operation to retrace the displacement of active pixel locations to the center of the image sensor. Alpha blending is performed to smooth the transition from a normal image stabilization operation to the fast-zero recovery with alpha blending operation.

Abstract: A technique for applying a crosstalk filter to raw image sensor data in a digital image processing pipeline is disclosed. Raw image sensor data generated by an image sensor, where each pixel in the raw image sensor data includes an intensity value for only a single color channel of a plurality of possible color channels, is processed in the digital image processing pipeline. For each pixel of the raw image sensor data, a corrected intensity value is computed based on intensity values associated with one or more additional pixels of the raw image sensor data that neighbor the pixel.

Abstract: On embodiment of the present invention sets forth a technique for automatically computing exposure parameters for a digital video camera (DVC) system. The exposure parameters include exposure gain, analog gain, and digital gain. Each frame is analyzed with respect to an image luma value. Exposure gain and analog gain are adjusted to reduce differences between a target image luma value and measured image luma values over sequential frames. Digital gain is adjusted with respect to each frame to reduce visually abrupt changes in sequentially captured video frames.

Abstract: On embodiment of the present invention sets forth a technique for automatically computing exposure parameters for a digital video camera (DVC) system. The exposure parameters include exposure gain, analog gain, and digital gain. Each frame is analyzed with respect to an image luma value. Exposure gain and analog gain are adjusted to reduce differences between a target image luma value and measured image luma values over sequential frames. Digital gain is adjusted with respect to each frame to reduce visually abrupt changes in sequentially captured video frames.

Abstract: On embodiment of the present invention sets forth a technique for automatically computing exposure parameters for a digital video camera (DVC) system. The exposure parameters include exposure gain, analog gain, and digital gain. Each frame is analyzed with respect to an image luma value. Exposure gain and analog gain are adjusted to reduce differences between a target image luma value and measured image luma values over sequential frames. Digital gain is adjusted with respect to each frame to reduce visually abrupt changes in sequentially captured video frames.