Sumit Chawla, 53119 Acacia Ct, San Carlos, CA 94070

8228406, Jul 24, 2012

Jun 4, 2010

12/794632

David Daming Kuo - San Jose CA, US
Haitao Guo - San Jose CA, US
Jay David Zipnick - Morgan Hill CA, US
Ting Chen - Sunnyvale CA, US
Sumit Chawla - San Carlos CA, US

Apple Inc. - Cupertino CA

H04N 9/64

348251, 382274

Systems, methods, and devices for applying lens shading correction to image data captured by an image sensor are provided. In one embodiment, multiple lens shading adaptation functions, each modeled based on the response of a color channel to a reference illuminant, are provided. An image frame from the image data may be analyzed to select a lens shading adaptation function corresponding to a reference illuminant that most closely matches a current illuminant. The selected lens shading function may then be used to adjust a set of lens shading parameters.

8471932, Jun 25, 2013

Sep 30, 2010

12/895659

Guy Cote - San Jose CA, US
Vaughn Todd Arnold - Scotts Valley CA, US
Sumit Chawla - San Carlos CA, US

Apple Inc. - Cupertino CA

H04N 5/217
H04N 9/64
G06K 9/40

348241, 348243, 382260

Systems and methods are disclosed for applying spatial filtering to raw image data. For example, a spatial filter may identify an n x n block of pixels from an image frame. The spatial filter has filter taps, each corresponding to one of the pixels of the n x n block. Pixel difference values between the input pixel and each of the neighboring pixels in the n x n block may be determined. Attenuation factors may be determined based on the pixel differences and brightness of the input pixel. Applying the attenuation factors to their respective filtering taps may produce attenuated filtering coefficients that are used to obtain filtered pixel values. By normalizing the sum of the filtered pixel values using the sum of the attenuated filtering coefficients, a spatially filtered output value corresponding to the current input pixel (e. g. , located at the center of the n x n block) may be determined.

8559730, Oct 15, 2013

Sep 15, 2010

12/882819

Florin Cutzu - San Jose CA, US
Sumit Chawla - San Carlos CA, US
Ted Cooper - Sunnyvale CA, US
Robert A. Williams - Los Altos CA, US

Foveon, Inc. - Santa Clara CA

G06K 9/56

382205

A method for identifying singleton outlier pixels in a selected color space in a digital image including a plurality of pixels, includes for each 3×3 patch of pixels in the image, calculating the diameter of the 3×3 patch of pixels. For each pixel in the patch, the distance to its nearest neighbor pixel within the patch is computed, as measured in the selected color space. The computed distance from each pixel in the patch is compared to its nearest neighbor with a threshold that is a preselected fraction of the diameter. A center pixel in the patch is identified as an outlier pixel if its calculated distance to its nearest neighbor is the largest distance to a nearest neighbor and exceeds the threshold.

8605167, Dec 10, 2013

Sep 1, 2010

12/873973

Guy Cote - San Jose CA, US
Jeffrey E. Frederiksen - Sunnyvale CA, US
Paul Matthew Hubel - Mountain View CA, US
Sumit Chawla - San Carlos CA, US

Apple Inc. - Cupertino CA

H04N 9/73

3482231

Various techniques are disclosed for processing statistics data in an image signal processor (ISP). In one embodiment, a statistics collection engine may be configured to acquire statistics relating to auto white-balance. The statistics collection engine may receive raw Bayer RGB data acquired by an image sensor and may be configured to perform one or more color space conversions to obtain pixel data in other color spaces. A set of pixel filters may be configured to accumulate sums of the pixel data conditionally based upon YC1C2 characteristics, as defined by a pixel condition per pixel filter. Depending on a selected color space, the pixel filters may generate color sums, which may be used to match a current illuminant against a set of reference illuminants with which the image sensor has been previously calibrated.

2014001, Jan 16, 2014

Jul 11, 2013

13/940221

Sumit Chawla - San Carlos CA, US
Scott Patrick Campbell - Belmont CA, US

H04N 5/225

3482221

An image capture accelerator performs accelerated processing of image data. In one embodiment, the image capture accelerator includes accelerator circuitry including a pre-processing engine and a compression engine. The pre-processing engine is configured to perform accelerated processing on received image data, and the compression engine is configured to compress processed image data received from the pre-processing engine. In one embodiment, the image capture accelerator further includes a demultiplexer configured to receive image data captured by an image sensor array implemented within, for example, an image sensor chip. The demultiplexer may output the received image data to an image signal processor when the image data is captured by the image sensor array in a standard capture mode, and may output the received image data to the accelerator circuitry when the image data is captured by the image sensor array in an accelerated capture mode.

2022031, Sep 29, 2022

Jun 8, 2022

17/835815

- San Mateo CA, US
Scott Patrick Campbell - Belmont CA, US
David A. Newman - San Diego CA, US
Kasturi Rangam - San Jose CA, US
Sumit Chawla - San Carlos CA, US

H04N 5/232
H04N 5/353
H04N 1/21
H04N 5/355
H04N 5/357

Systems and methods are provided that capture and process frames of frame data. An image sensor captures frames of frame data representative of light incident upon the image sensor using a rolling shutter and outputs the frames of frame data. The image sensor captures at least one of the frames over a frame capture interval and then waits over a blanking interval before capturing another frame. A buffer receives and stores the frames output by the image sensor. An image signal processor retrieves the frames from the buffer and processes the frames over successive frame processing intervals to generate a video having a time interval per frame greater than the frame capture interval. At least one of the successive frame processing intervals is greater than the frame capture interval and is less than or equal to a sum of the frame capture interval and the blanking interval.

2021003, Feb 4, 2021

Oct 21, 2020

17/075923

- San Mateo CA, US
Sumit Chawla - San Carlos CA, US
Loic Segapelli - Oakland CA, US
Scott Patrick Campbell - Belmont CA, US

H04N 5/262
H04N 5/232
H04N 21/2343
G09G 5/00
H04N 7/01
G06T 3/00
G06T 3/40

A camera system captures an image in a source aspect ratio and applies a transformation to the input image to scale and warp the input image to generate an output image having a target aspect ratio different than the source aspect ratio. The output image has the same field of view as the input image, maintains image resolution, and limits distortion to levels that do not substantially affect the viewing experience. In one embodiment, the output image is non-linearly warped relative to the input image such that a distortion in the output image relative to the input image is greater in a corner region of the output image than a center region of the output image.

2020035, Nov 12, 2020

Jun 29, 2020

16/914853

- San Mateo CA, US
Scott Patrick Campbell - Belmont CA, US
David A. Newman - San Diego CA, US
Kasturi Rangam - San Jose CA, US
Sumit Chawla - San Carlos CA, US

H04N 5/232
H04N 5/353
H04N 1/21
H04N 5/355
H04N 5/357

Systems and methods are provided that capture and process frames of frame data. An image sensor captures frames of frame data representative of light incident upon the image sensor using a rolling shutter and outputs the frames of frame data. The image sensor captures at least one of the frames over a frame capture interval and then waits over a blanking interval before capturing another frame. A buffer receives and stores the frames output by the image sensor. An image signal processor retrieves the frames from the buffer and processes the frames over successive frame processing intervals to generate a video having a time interval per frame greater than the frame capture interval. At least one of the successive frame processing intervals is greater than the frame capture interval and is less than or equal to a sum of the frame capture interval and the blanking interval.