COACH 12

Object Movement

To automatically select the camera settings that could be best described as the “sports mode” of a traditional digital camera, the COACH processor evaluates the motion in the scene, checks the lighting conditions, compares these factors with the optical and sensor capabilities offered by the digital camera being used, and appropriately sets the camera’s effective shutter speed, aperture size and system sensitivity.

Accurate Color Matching

Accurate color matching produces a target color palette to match the customer’s requirements. COACH 12 DCP and companion color-tuning tools, can virtually match the camera manufacturer’s target color palettes.

Demosaicing

Interpolation of missing information on high contrast edges of a scene can result in visible artifacts. The COACH 12 processor’s superior interpolation, maintains natural edges while reducing artifacts such as those created by Moiré patterns.

Camera Movement & Image Stabilization

For light, hand-held video cameras, such as the Flip Mino, naturally occurring handshake results in a visible jitter when viewing the clips on a high definition TV set. In addition, camera makers are using CMOS sensors to enable Full HD (1080p) video. Unlike more traditional CCD sensors. CMOS sensors, when combined with camera vibrations due to handshake, produce disturbing artifacts commonly known as “rolling shutter artifacts”. Traditional methods of stabilization, such as using a gyro to track camera motion, cannot remove these artifacts. The COACH 12 processor incorporates innovative and unique stabilization algorithms that successfully remove rolling shutter artifacts.

Advanced Noise Reduction

Asymmetric conversion of light into electrical current in a camera sensor, results in random noise. The COACH 12 processor reduces or removes the noise even at ISOs up to 12800 without adversely affecting the image.

Motion Compensated Temporal Filtering (MCTF)

In addition to its advanced noise reduction pipeline, the COACH 12 processor incorporates temporal filtering to further reduce noise when shooting video clips. Temporal filtering takes advantage of the fact that consecutive video frames contain the same elements, such as static background (buildings, pictures on the walls etc.). Identification of identical elements in multiple frames provides more information about the noise and the element itself. Thus the noise can be reduced even further without loosing details.

Most of the video clips people shoot contain motion – people walking, cars passing by, children sliding down a slide. The COACH 12 processor incorporates unique algorithms to track objects within different frames even if they move and use this information to perform temporal filtering, not only in the static areas of the scene, but also in the dynamically moving elements of the video clip. The result is reduced noise and better compression. An additional benefit of the COACH Motion Compensated Temporal Filtering is that, unlike other temporal filtering algorithms, camera movement does not produce unwanted compression artifacts around moving objects.