Qualcomm Incorporated

Other

Micro Usa, Inc.

Kadayam S Thyagarajan

Steven Allan Morley

Ann Chris Irvine

Vijayalakshmi Rajasundaram Raveendran

Brian T Fudge

Dianne Ratzel, Legal Representative

Senthil Kumar Govindaswamy

John Ratzel

Eric Carl Rosen

Richard H Patterson

Jeffrey Alexander Levin

Michael J Merritt

Senthil Govindaswamy

A method of losslessly compressing and encoding signals representing image information is claimed. A lossy compressed data file and a residual compressed data file are generated. When the lossy compressed data file and the residual compressed data file are combined, a lossless data file that is substantially identical to the original data file is created.

Apparatus and method for encoding digital image data in a lossless manner

An apparatus and method for limiting bit rate of compressed data is disclosed. The apparatus and method allows the generation of parameters for encoding digital image data based on the data bit rate resulting from the use of different parameters. In one embodiment, a statistical analysis is performed to determine the different parameters. The use of parameters results in a bit rate that would prevent a decoder to stall during decompression while allowing the encoder compress without affecting the quality. Therefore, a more efficient encoding and decoding can be achieved.

Digital image encoding

A method and system for increasing the detection, location, identification or classification of objects hidden on the surface or buried below the surface of the ground is disclosed. The method acquires image data in separate IR and/or visible spectral regions simultaneously and converts the data into intensity value arrays for each spectral region. These intensity value arrays are transformed into two-dimensional discrete wavelet transform arrays for each spectral region. The background clutter from the two-dimensional discrete wavelet transform arrays is removed; forming clutter reduced two-dimensional discrete wavelet transform arrays. The inverse two-dimensional discrete wavelet transform is performed on the clutter reduced two-dimensional discrete wavelet transform arrays to form clutter removed intensity value arrays. These arrays are subtracted in a pair-wise mariner to obtain chemical-specific spectral signatures. The processed images are correlated with 3-dimensional matched filters of known emissive signatures of objects to detect the presence of the object.

Systems and methods of using spatial/spectral/temporal imaging for hidden or buried explosive detection

The present invention is a processing method to increase the detection of objects below the surface of the water comprising the steps of: acquiring image data in separate spectral regions simultaneously and converting the image data into intensity value arrays for each spectral region, transforming the intensity value arrays into two-dimensional discrete wavelet transform arrays for each spectral region, and subtracting in a pair wise manner the two-dimensional discrete wavelet transform arrays thereby obtaining images showing an object below the surface of the water.

Methods for processing images to detect objects below the surface of the water

An apparatus and method for encoding quantized frequency represented data, the data including zero and non-zero represented data. For zero represented data, a zero run length is determined. A Golomb parameter is determined as a logarithmic function of the zero run length. A quotient is encoded as a function of the zero run length and the Golomb parameter. A remainder is encoded as a function of the zero run length, the Golomb parameter and the quotient. The coded quotient and the coded remainder are concatenated.

DCT compression using Golomb-Rice coding

A method of losslessly decoding signals representing an image is claimed. A lossy compressed data file and a residual compressed data file are received. The lossy compressed data file is separated into DC coefficients and AC coefficients, and decoded, separately, to the determine DC values and the AC values. The DC values and the AC values are inverse quantized to produce lossy, decompressed data. The residual compressed data file is decoded to produce a residual decompressed data. The lossy decompressed frequency data is combined with the residual decompressed data to produce a lossless data file, wherein the lossless data file is substantially the same as the original image.

System and method for decoding digital image and audio data in a lossless manner

A system and method for quality-based image compression utilizing adaptively sized blocks and sub-blocks of discrete cosine transform coefficient data and a quality based quantization scale factor is claimed. A block size assignment element in an encoder element selects the block or sub-block of an input block of pixel data to be processed. Blocks with variances larger than a threshold are subdivided, while blocks with variances smaller than a threshold are not subdivided. A transform element transforms the pixel values of the selected blocks into the frequency domain. The frequency domain values are quantized either on a block by block basis or a frame by frame basis utilizing a scale factor that correlates with the quality of the image. The data is then serialized and coded in preparation for transmission.

Quality based image compression

An apparatus for adding a watermark to a moving image as it is displayed comprises a watermark generator in which data representing a watermark is generated. The watermark contains at least one of location data and time data pertaining to the displaying of the moving image. The location and time data is protected by forward error encoding. The watermark also contains at least one of program data identifying the moving image and frame data unique in identifying each frame of the moving image. The program and time data is protected by scrambling. A watermark applicator applies the watermark data to image data representing substantially all of the moving image depending on a characteristic, such as amplitude, of the data.

Apparatus and method for watermarking a digital image

An apparatus and method to encode the run-lengths and amplitude of the quantized DCT coefficients in a lossless manner is used to achieve compression. Specifically, Golomb-Rice coding is used to encode both zero runs and non-zero amplitudes of the DCT coefficients after quantization. It is found that the use of a scheme taking advantage of an exponential distribution of data, such as Golomb-Rice coding, allows for higher coding efficiencies than alternate schemes.

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San Diego, CA, United States of America

Kadayam S Thyagarajan