Intel Corporation

Ping-Sing Tsai

Tinku Acharya

Yap-Peng Tan

Edward John Bawolek

Gregory W Starr

Walter J Mack

Werner Adam Metz

Jean-Charles Korta

Wen-Shan Wang

Hyun Mun Kim

John Joseph Bean

Embodiments of a method of generating Huffman code length information are disclosed. In one such embodiment, a data structure is employed, although, of course, the invention is not limited in scope to the particular embodiments disclosed.

Method of generating Huffman code length information

Briefly, in accordance with one embodiment of the invention, a method of using hue to interpolate color pixel signals includes the following. For a particular pixel location in a subsampled color image, differences in hue are compared for two mutually orthogonal directions across the particular pixel location. A color signal value for that particular pixel location for a color plane other than the color plane of the pixel signal value in the subsampled color image of that location is computed. The computation includes relatively weighing the differences in hue values, the relative weights depending, at least in part, on the difference in hue value in one direction relative to the other.

Method of using hue to interpolate color pixel signals

Embodiments of a method of performing Huffman decoding are disclosed. In one such embodiment, a data structure is employed, although, of course, the invention is not limited in scope to the particular embodiments disclosed.

Method of performing huffman decoding

Briefly, in accordance with one embodiment of the invention, a method of inverse quantizing quantized signal samples of an image during image decompression includes the following. A process to transform the signal samples from a first domain to a second domain is applied. During the transform process, signal samples are filter, by first applying scaled filter coefficients to signal samples along the image in a first direction and then applying scaled filter coefficients to signal samples along the image in a second direction, so that at the completion of the transform process of the image, at least a selected portion of the transformed signal samples are inverse quantized. Many other embodiments in accordance with the invention are also described.

Method of inverse quantized signal samples of an image during image decompression

A method includes capturing an optical image to form raw data indicative of the optical image and using a look-up table to transform the raw data into transformed data that indicates a second image. A white color balance of the second image is computed, and the values in the look-up table are modified based on the computed white color balance.

Image processing methods and apparatus

An imaging system using a color shutter receives signals indicative of color information in a plurality of planes together with infrared information and a signal indicative of the infrared radiation alone. The infrared radiation signal may be subtracted from the signals associated with the color planes to develop signals free of infrared radiation effects for each of the desired color planes. In addition an infrared signal is available which may have useful applications in some situations. In this way, color information color bands may be obtained without the need an infrared filter and infrared information is retained for use in other applications if desired. In addition infrared and dark current information may be derived that can be used for dark current correction.

Infrared correction system

A system of indexing discrete wavelet transform data, after entropy encoding, allows access to particular frames and sub-bands without decomposing all of the data to find the information of interest. In one embodiment a header may include the frame size in bytes followed by the sizes of each of the sub-bands in a predetermined order.

Indexing wavelet compressed video for efficient data handling

Numerous embodiments for a method of performing Huffman decoding are disclosed.

Method and apparatus for huffman decoding technique

An imager with a four color mosaic pattern of red, green, blue, and infrared pass filters, where color component signals for a pixel are interpolated by averaging over nearest neighbor pixels.

Color interpolation for a four color mosaic pattern

Briefly, in accordance with one embodiment of the invention, a method of quantizing signal samples of an image during image compression includes the following. A process to transform the signal samples from a first domain to a second domain is applied. During the transform process, signal samples are filter, by first applying scaled filter coefficients to signal samples along the image in a first direction and then applying scaled filter coefficients to signal samples along the image in a second direction, so that at the completion of the transform process of the image, selected regions of the transformed signal samples are quantized by a common value. Many other embodiments in accordance with the invention are also described.

Method of quantizing signal samples of an image during same

Briefly, in accordance with one embodiment of the invention, a method of sharpening an image includes the following. A crispening parameter is adaptively computed for a local region of a captured image based, at least in part, on a measure of the local contrast and the local brightness. A kernel is applied to the local region of the captured image using the adaptively computed crispening parameter.

Method and apparatus for adaptively sharpening local image content of an image

Embodiments are disclosed of generating a length-constrained Huffman code.

Method of generating a length-constrained huffman code

Method of performing Huffman decoding

Briefly, in accordance with one embodiment of the invention, a method of sharpening an image includes the following. A crispening parameter is adaptively computed for a captured image based, at least in part, on a measure of the edges and brightness of the captured image. A kernel is applied to the captured image using the adaptively computed crispening parameter.

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Gilbert, AZ, United States of America

Ping-Sing Tsai