Abstract: Disclosed is a method for processing a digital image, the method comprising: selecting a set of frames from a plurality of frames captured by a digital imaging device: identifying a set of pixel blocks from the set of frames; and integrating the set of pixel blocks to process the digital image.

Abstract: Embodiments of the invention are directed to a system for reconfiguring a processor array while it is currently operating. The reconfiguration system uses configuration chains streamed down communication channels that are set for the re-configuration process, then re-set after the reconfiguration process has completed.

Abstract: Disclosed is a method for sharpening a digital image captured by a digital imaging device, the method comprising, for each pixel Xm,n of the digital image: a) at an edge detector determining an edge parameter E, the edge parameter E providing an indication of whether the pixel Xm,n is at an edge of the digital image; b) at a noose detector determining a noise parameter ?, the noise parameter ? providing an indication of whether the pixel Xm,n is a noise in the digital image; c) at a scaling module determining a scaling factor ?m,n based on a combination of the edge parameter E and the noise parameter ?; and d) at an image sharpening module applying the scaling factor ?m,n on a pixel by pixel basis to sharpen the digital image to get a sharpened pixel Ym,n.

Abstract: In one embodiment, a method for reducing motion artifacts in an output image is provided. The method comprises capturing multiple frames of a scene; determining local motion vectors between each pixel in a current frame and a corresponding pixel in the a previous frame; and performing a temporal filtering operation based on the local motion vectors wherein pixels from a plurality frames are integrated to form the output image.

Abstract: In one embodiment of the invention, a method is provided. The method, comprises scaling down a Bayer domain image made up of a number of 2×2 basic units, each having a Red (R) pixel, a Blue (B) pixel, and two green (G) pixels arranged in a fixed configuration and replicated throughout the image, the method comprising (a) partitioning the image into 2M×2N input blocks, where M and N are integers greater than or equal to 1; (b) for each 2M×2N input block, averaging a selection of R pixels in the block to produce a R pixel in a scaled down image corresponding to the Bayer domain image; (c) averaging a selection of B pixels in the block to produce a B pixel in the scaled down image; and (d) partitioning the 2M×2N input block into first and second triangular regions, and averaging a selection of pixels in the first triangular region to produce a first G pixel in the scaled down image, and averaging a selection of pixels in the second triangular region to produce a second G pixel in the scaled down image.

Abstract: In one embodiment of the invention, a method is provided. The method, comprises (a) determining a white balance correction parameter for a white balance correction processing block for an image sensor, and including the white balance correction parameter in the white balance correction processing block; (b) determining a gamma correction parameter for a gamma correction processing block for the image sensor, and including the gamma correction parameter in the gamma correction processing block; and (c) determining a color correction parameter for a color correction processing block for the image sensor, and including the color correction parameter in the color correction processing block.

Abstract: In one embodiment, a method for correcting image data for a captured image for lens shading artifacts is provided. The method comprises determining a plurality of one dimensional correction curves that can be applied to the image data to correct for lens shading artifacts therein; and correcting the image data for lens shading artifacts based on the one dimensional curves.

Abstract: In one embodiment, a method for controlling artifacts in an image due to a presence of flicker in ambient light is provided. The method comprises determining a power frequency for the ambient light; determining a magnitude and phase of flicker fluctuation in the image due to the flicker; and adjusting the image for the flicker fluctuation based on the power frequency, magnitude, and phase.