Abstract:
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.
Abstract:
An apparatus and method for the detection of errors in compressed digital image is disclosed. In one embodiment, a signature is generated using a multiple input shift register and added to the compressed information. The signature is verified at the decoder to detect an error in the compressed information. Other information such as the frame number and/or color component type of the compressed image can also be verified to detect errors in the compressed information. In other embodiments, the decoder detects errors if there are bits remaining after decompression and/or if there are invalid codes at decompression. Once an error is detected, the compressed information can be discarded or re-sent and processed. Therefore, the detection of errors can significantly enhance at least the reliance of systems such as digital cinema that require compression of large amounts of data.
Abstract:
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.
Abstract:
Apparatus and method for generating multiple descriptions of compressed data is disclosed. In the apparatus and method, transform coefficients are generated from input data and quantized. An energy distribution of the quantized transform coefficients is generated. Based on the energy distribution, the transform coefficients are grouped into layers. By entropy coding different number of layers, multiple descriptions of compressed data are generated.
Abstract:
An apparatus and method for generating multiple descriptions of compressed data are comprised. Generally, a quantized bit stream is generated using a reference quantization step. The quantized bit stream is then re-quantized using a first quantization step to generate a first description of compressed data, wherein the first quantization step is determined based on a first required scaling of the reference quantization step. The quantized bit stream may also be re-quantized using a second quantization step to generate a second description of compressed data, wherein the second quantization step is determined based on a second required scaling of the reference quantization step.
Abstract:
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 filed is separated into DC coefficients and AC coefficients, and decoded, separately, to the 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, wherein the lossless data file is substantially the same as the original image.
Abstract:
Embodiments describe a method, apparatus and system for processing images using block based compression. In one embodiment, a method comprises determining whether two blocks are neighboring blocks, determining whether the two neighboring blocks are both subdivided, if the two blocks are neighboring blocks; performing deblocking filtering on one or more edge pixels of the two neighboring blocks, if it is determined that both of the two neighboring blocks are not subdivided.
Abstract:
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 filed is separated into DC coefficients and AC coefficients, and decoded, separately, to the 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, wherein the lossless data file is substantially the same as the original image.
Abstract:
An apparatus and method for generating multiple descriptions of compressed data are comprised. Generally, a quantized bit stream is generated using a reference quantization step. The quantized bit stream is then re-quantized using a first quantization step to generate a first description of compressed data, wherein the first quantization step is determined based on a first required scaling of the reference quantization step. The quantized bit stream may also be re-quantized using a second quantization step to generate a second description of compressed data, wherein the second quantization step is determined based on a second required scaling of the reference quantization step.