Mrityunjay Kumar - Rochester NY, US Bruce H. Pillman - Rochester NY, US James A. Hamilton - Rochester NY, US
Assignee:
OmniVision Technologies, Inc. - Santa Clara CA
International Classification:
H04N 3/14
US Classification:
348273
Abstract:
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.
Mrityunjay Kumar - Rochester NY, US Bruce H. Pillman - Rochester NY, US James A. Hamilton - Rochester NY, US
Assignee:
OmniVision Technologies, Inc. - Santa Clara CA
International Classification:
H04N 3/14
US Classification:
348277, 348276, 348279, 348273, 3482221
Abstract:
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.
Mrityunjay Kumar - Rochester NY, US David D. Conger - Grosse Point Woods MI, US Jiebo Luo - Pittsford NY, US Rodney L. Miller - Fairport NY, US
Assignee:
Eastman Kodak Company - Rochester NY
International Classification:
G06K 9/32 G06K 9/36
US Classification:
382298, 382276
Abstract:
A method for modifying an input digital image having input dimensions defined by a number of input rows and input columns to form an output digital image where the number of rows or columns is reduced by one, comprising an image energy map determined from the input image; determining a seam path responsive to the image energy map; imposing constraints on the seam path; and removing pixels along the seam path to modify the input digital image.
Mrityunjay Kumar - Rochester NY, US Bruce H. Pillman - Rochester NY, US
Assignee:
OmniVision Technologies, Inc. - Santa Clara CA
International Classification:
G06K 9/00
US Classification:
382167, 382300
Abstract:
A method for forming a final digital color image with reduced motion blur including of a processor for providing images having panchromatic pixels and color pixels corresponding to at least two color photo responses, interpolating between the panchromatic pixels and color pixels to produce a panchromatic image and a full-resolution color image to produce a full-resolution synthetic panchromatic image from the full-resolution color image; and developing color correction weights in response to the synthetic panchromatic image and the panchromatic image; and using the color correction weights to modify the full-resolution color image to provide a final color digital image.
Mrityunjay Kumar - Rochester NY, US Bruce H. Pillman - Rochester NY, US James A. Hamilton - Rochester NY, US
Assignee:
OmniVision Technologies, Inc. - Santa Clara CA
International Classification:
H04N 3/14
US Classification:
348277, 348273, 348276, 348279, 250226
Abstract:
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.
Mrityunjay Kumar - Rochester NY, US Bruce H. Pillman - Rochester NY, US James A. Hamilton - Rochester NY, US
Assignee:
OmniVision Technologies, Inc. - Santa Clara CA
International Classification:
H04N 9/083
US Classification:
348274, 348271, 348272, 348273
Abstract:
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.
A method for reducing noise in a color image captured using a digital image sensor having pixels being arranged in a rectangular minimal repeating unit. The method comprises, for a first color channel, determining noise reduced-pixel values using a first noise reducing process that includes computing weighted pixel differences by combining the pixel differences with corresponding local edge-responsive weighting values. The method further comprises a second noise reducing process that includes computing weighted chroma differences by combining chroma differences with corresponding local edge-responsive weighting values.
Zoom Lens System Characterization For Image Sharpening
Mrityunjay Kumar - Rochester NY, US Bruce H. Pillman - Rochester NY, US
Assignee:
Eastman Kodak Company - Rochester NY
International Classification:
H04N 5/228
US Classification:
34820899, 3482084, 34820812, 348252
Abstract:
A method for sharpening an input digital image captured using a digital camera having a zoom lens, determining a parameterized representation of lens acuity of the zoom lens as a function of at least the lens focal length and lens F# by fitting a parameterized function to lens acuity data for the zoom lens at a plurality of lens focal length and lens F/#; using a processor to sharpen the input digital image responsive to the particular lens focal length and lens F/#corresponding to the input digital image using the parameterized representation of the lens acuity.
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Alig & associates - Ca artical
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Govt. of India - Inspector (2009-2044)
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Patna University - Mathematics
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