Marvell International Limited

Marvellworld Trade Ltd.

Ping-Sing Tsai

Bradley C Aldrich

Adam George

Samson X Huang

Matthew P Wingert

Yuning Yang

Systems and methods for reducing noise in an image are provided. Noise is reduced in a luminance channel of the image using a first filtering procedure. Noise is reduced in a chrominance channel of the image using a second filtering procedure. The chrominance channel is decomposed into a plurality of frequency sub-bands, where each frequency sub-band of the plurality of frequency sub-bands represents the chrominance channel at a first resolution. The noise is further reduced in the chrominance channel using a third filtering procedure. The third filtering procedure is applied to each frequency sub-band of the plurality of frequency sub-bands. A lowest frequency sub-band of the plurality of frequency sub-bands is decomposed into a second plurality of frequency sub-bands after the third filtering procedure. Each frequency sub-band of the second plurality of frequency sub-bands represents the chrominance channel at a second resolution that is lower than the first resolution.

System and method for reducing noise from an image

An apparatus, method, and other embodiments associated with performing interpolations to compute gain values that correct for varying spatial intensity are described. In one embodiment, a method includes determining, by an apparatus that processes image data, a gain value for a pixel in the image data for which there is no gain value available in the apparatus, by interpolating related gain values associated with corners of a rectangle bounding the pixel, wherein the interpolating includes determining at least two partial coefficients by interpolating pairs of the related gain values. Noise is filtered from the image data using a noise threshold, and the noise threshold is modified by using the at least two partial coefficients. The method also applies the gain value to the pixel in the image data.

Gain value interpolation

A system and method of adaptive edge detection and noise reduction in an image where edge information is detected for each color component of each pixel, whether sensed or synthesized. In some embodiments, the filter applied to a selected non-edge pixel may be determined by the ultimate size of a region around the selected pixel, where the size of the region may be increased if a count of the non-edge pixels in the region is less than a threshold value.

Method and apparatus for spatial noise adaptive filtering for digital image and video capture systems

An apparatus and other embodiments associated with performing interpolations to compute gain values that correct for varying spatial intensity are described. In one embodiment, an apparatus includes interpolation logic configured to determine a gain value for a pixel in image data for which there is no gain value available in the apparatus. The interpolation logic is configured to determine the gain value by performing an interpolation of related gain values available in the apparatus. The apparatus also includes falloff correction logic configured to apply the gain value to the pixel in the image data.

Apparatus, methods, and other embodiments associated with repairing defective pixels are described. In one embodiment, an apparatus includes pixel defect logic configured to retrieve pixel repair information associated with at least one defective sensor of an array of photo sensors. Pixel replication logic is configured to repair defective pixels in a stream of image pixels based, at least in part, on the pixel repair information.

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Cedar Park, TX, United States of America

Ping-Sing Tsai