Omnivision Technologies, Inc.

Eastman-kodak Company

Harris Global Communications, Inc.

James A Hamilton

James E Adams, Jr

Bruce Harold Pillman

Mrityunjay Kumar

John F Hamilton, Jr

Keith J Kripp

Communication terminal includes a first microphone system, a second microphone system, and a noise reduction processing unit (NRPU). The NRPU receives a primary signal from the first microphone system and a secondary signal from the second microphone system. The NRPU dynamically identify an optimal transfer function of a correction filter which can be applied to the secondary signal provided by the second microphone system to obtain a correction signal. The correction signal is subtracted from the primary signal to obtain a remainder signal which approximates a signal of interest contained within the primary signal.

Voice enhancement in presence of noise

A method is described for forming a full-color output image from a color filter array image comprising capturing an image using an image sensor including panchromatic pixels and color pixels having at least two different color responses, the pixels being arranged in a rectangular minimal repeating unit wherein for a first color response, the color pixels having the first color response alternate with panchromatic pixels in at least two directions, and for each of the other color responses there is at least one row, column or diagonal of the repeating pattern that only has color pixels of the given color response and panchromatic pixels. The method further comprising, computing an interpolated panchromatic image from the color filter array image; computing an interpolated color image from the color filter array image; and forming the full color output image from the interpolated panchromatic image and the interpolated color image.

Interpolation for four-channel color filter array

A method of forming a full-color output image from a color filter array image having a plurality of color pixels having at least two different color responses and panchromatic pixels, comprising capturing a color filter array image using an image sensor including panchromatic pixels and color pixels having at least two different color responses, the pixels being arranged in a repeating pattern having a square minimal repeating unit having at least three rows and three columns, the color pixels being arranged along one of the diagonals of the minimal repeating unit, and all other pixels being panchromatic pixels; computing an interpolated panchromatic image from the color filter array image; computing an interpolated color image from the color filter array image; and forming the full color output image from the interpolated panchromatic image and the interpolated color image.

Four-channel color filter array interpolation

An image sensor for capturing a color image comprising a two dimensional array of light-sensitive pixels including panchromatic pixels and color pixels having at least two different color responses, the pixels being arranged in a repeating pattern having a square minimal repeating unit having at least three rows and three columns, the color pixels being arranged along one of the diagonals of the minimal repeating unit, and all other pixels being panchromatic pixels.

Four-channel color filter array pattern

An image sensor for capturing a color image comprising a two dimensional array of light-sensitive pixels including panchromatic pixels and color pixels having at least three different color responses, the pixels being arranged in a rectangular minimal repeating unit having at least eight pixels and having at least two rows and two columns, wherein for a first color response, the color pixels having the first color response alternate with panchromatic pixels in at least two directions, and for each of the other color responses there is at least one row, column or diagonal of the repeating pattern that only has color pixels of the given color response and panchromatic pixels.

Color filter array pattern having four-channels

A method of computing neighborhoods of pixels which neighborhoods are bounded to include particular image characteristics including using the digital image to compute neighborhoods of pixels which are to be processed and wherein such neighborhoods of pixels are substantially bounded by pixels defining the particular image characteristic; computing an activity number for each pixel based upon the values of adjacent pixels; using the activity numbers for each pixel and activity numbers for adjacent pixels in a predetermined neighborhood to produce a plurality of trend numbers for each pixel related to the particular image characteristic; and using the trend numbers for each pixel to determine the neighborhoods of pixels which bound the particular image characteristic.

Removing color aliasing artifacts from color digital images

A method of minimizing color aliasing artifacts from a color digital image having color pixels is disclosed. The method includes providing luminance and chrominance signals from the color digital image; using the luminance and chrominance signals to compute neighborhoods of pixels which are to be processed and wherein such neighborhoods of pixels are substantially bounded by pixels defining edges; producing low frequency chrominance signals in response to the chrominance signals; using the low frequency chrominance signals and the computed neighborhood of pixels to produce noise-cleaned chrominance signals; upsampling the noise-cleaned chrominance signals to produce upsampled noise-cleaned chrominance signals; and using the luminance signals and the upsampled noise-cleaned chrominance signals to provide a color digital image having reduced color aliasing artifacts.

Growing community of inventors

Rochester, NY, United States of America

James A Hamilton