Abstract:
PROBLEM TO BE SOLVED: To perform lossless encoding upon a DC coefficient in a frequency domain. SOLUTION: Data includes a plurality of slices each having a plurality of blocks 120. Each block has a DC component and a plurality of AC components 130. The first DC component value of each slice is encoded. Each subsequent DC component value of each slice is represented as the difference between it and the DC component value proceeding it. As for lossless encoding, the initial DC component value of each slice and the differences are encoding using Golomb-Rice 138. COPYRIGHT: (C)2009,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To make lossless compression without reducing compression efficiency. SOLUTION: 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. COPYRIGHT: (C)2009,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To provide a system and method for decoding digital image data and voice data without loss. SOLUTION: The method for lossless decoding of signals representing an image is required, and the method is presented as follows. A lossy compression data file and a residual compression data file are received. The lossy compression data file is separated into a DC coefficient and AC coefficient and the DC coefficient and the AC coefficients are decoded individually to determine the DC value and AC values (130). The DC value and AC values are inverse-quantized to generate lossy decompression data (146). Lossy decompression frequency data is combined with residual decompression data to generate a lossless data file wherein the lossless data file is substantially the same as an original image. COPYRIGHT: (C)2009,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To provide a system and method for decoding digital image and audio data in a lossless manner.SOLUTION: 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 determine DC values and the AC values (130). The DC values and the AC values are inverse quantized to produce lossy decompressed data (146). The lossy decompressed frequency data is combined with the residual decompressed data to produce a lossless data file, where the lossless data file is substantially the same as the original image.
Abstract:
A system and method for image compression utilizing adaptively sized blocks and sub-blocks of discrete cosine transform coefficient data is presented. A block size assignment element in the encoder selects the block or sub-block of an input block of pixels to be processed. The selection is based on the variance of pixel values. 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 may then be quantized, serialized, and variable length coded in preparation for transmission.
Abstract:
An apparatus and method of intraframe encoding of digital frequency-domain data. The data comprises a plurality of slices each having a plurality of blocks. Each block has a DC component and a plurality of AC components. A first DC component value of each slice is encoded. Each subsequent DC component value of each slice is represented as the difference between it and the DC component value preceeding it. For lossless encoding, the initial DC component value of each slice and the differences are encoding using Golomb-Rice.
Abstract:
An apparatus and method of intraframe encoding of digital frequency-domain data. The data comprises a plurality of slices each having a plurality of blocks. Each block has a DC component and a plurality of AC components. A first DC component value of each slice is encoded. Each subsequent DC component value of each slice is represented as the difference between it and the DC component value preceeding it. For lossless encoding, the initial DC component value of each slice and the differences are encoding using Golomb-Rice.
Abstract:
A system and method for image compression utilizing adaptively sized blocks and sub-blocks of discrete cosine transform coefficient data is presented. A block size assignment element in the encoder selects the block or sub-block of an input block of pixels to be processed. The selection is based on the variance of pixel values. 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 may then be quantized, serialized, and variable length coded in preparation for transmission.
Abstract:
An apparatus and method of intraframe encoding of digital frequency-domain data. The data comprises a plurality of slices each having a plurality of blocks (120). Each block has a DC component and a plurality of AC components (130). A first DC component value of each slice is encoded. Each subsequent DC component value of each slice is represented as the difference between it an d the DC component value proceeding it. For lossless encoding, the initial DC component value of each slice and the differences are encoding using Golomb- Rice (138).