Abstract: The invention relates to a method for compressing an input data set, wherein the coefficients in the input data set are grouped in groups of coefficients, a number of bit planes, GCLI, needed for representing each group is determined, a quantization is applied, keeping a limited number of bit planes, a prediction mechanism is applied to the GCLIs for obtaining residues, and an entropy encoding of the residues is performed. The entropy-encoded residues, and the bit planes kept allow the decoder to reconstruct the quantized data, at a minimal cost in meta-data.

Abstract: An apparatus for encoding image data, the image data being decomposed into a plurality of different subbands, each subband having a plurality of coefficients, wherein a precinct has different sets of coefficients from different subbands, wherein two sets of coefficients of a first precinct belong to a first spatial region of an image represented by the image data, the apparatus having: a processor for determining, for each group of coefficients within a set, a greatest coded line index (GCLI); an encoder for encoding the greatest coded line indices associated with a first set of the first precinct in accordance with a first encoding mode, and for encoding the greatest coded line indices associated with a second set of the first precinct in accordance with a second encoding mode, the second encoding mode being different from the first encoding mode; and an output interface for outputting an encoded image signal having data on the encoded greatest coded line indices and data on the coefficients.

Abstract: The invention relates to a method for compressing an input data set, wherein the coefficients in the input data set are grouped in groups of coefficients, a number of bit planes,GCLI, needed for representing each group is determined, a quantization is applied,keeping a limited number of bit planes,a prediction mechanism is applied to the GCLIs for obtaining residues, and an entropy encoding of the residues is performed. The entropy-encoded residues, and the bit planes kept allow the decoder to reconstruct the quantized data, at a minimal cost in meta-data.

Abstract: An apparatus for encoding image data, the image data being decomposed into a plurality of different subbands, each subband having a plurality of coefficients, wherein a precinct has different sets of coefficients from different subbands, wherein two sets of coefficients of a first precinct belong to a first spatial region of an image represented by the image data, the apparatus having: a processor for determining, for each group of coefficients within a set, a greatest coded line index (GCLI); an encoder for encoding the greatest coded line indices associated with a first set of the first precinct in accordance with a first encoding mode, and for encoding the greatest coded line indices associated with a second set of the first precinct in accordance with a second encoding mode, the second encoding mode being different from the first encoding mode; and an output interface for outputting an encoded image signal having data on the encoded greatest coded line indices and data on the coefficients.

Abstract: The invention provides a method and device for compressing a sequence of signed coefficients wherein coefficients are grouped, for each group, the greatest coded line index (GCLI) is determined, a quantization level t is applied and only the GCLI-t lowest weight bits of the coefficients are copied into the output stream together with the value of the GCLI. According to the invention, sign bits are not coded for coefficient having a zero quantized value. The invention also provides a method for determining a data budget required for compressing a sequence of signed coefficients, in dependence of a quantization level, and a method for compressing an image within the limits of a given data budget constraint. The invention provides a compressed data set coding an image in an efficient way.

Abstract: The invention provides a method for mapping a data stream onto an SDI channel, said data stream comprising a sequence of m-bit words, a range of values from 0 to 2**n?1 and from 2**m?2**n to 2**m?1 being excluded values on said SDI channel. The method comprises the steps of grouping the words to be transmitted, detecting if at least one of the words of the group contains a number of MSB's equal to one, and then recoding these MSBs and adding a constant, in order that no excluded values are obtained. Supplementary bits signal groups that have been recoded.

Abstract: The invention provides a method and device for compressing a sequence of signed coefficients wherein coefficients are grouped, for each group, the greatest coded line index (GCLI) is determined, a quantization level t is applied and only the GCLI-t lowest weight bits of the coefficients are copied into the output stream together with the value of the GCLI. According to the invention, sign bits are not coded for coefficient having a zero quantized value. The invention also provides a method for determining a data budget required for compressing a sequence of signed coefficients, in dependence of a quantization level, and a method for compressing an image within the limits of a given data budget constraint. The invention provides a compressed data set coding an image in an efficient way.

Abstract: The invention provides a method for mapping a data stream onto an SDI channel, said data stream comprising a sequence of m-bit words, a range of values from 0 to 2**n?1 and from 2**m?2**n to 2**m?1 being excluded values on said SDI channel. The method comprises the steps of grouping the words to be transmitted, detecting if at least one of the words of the group contains a number of MSB's equal to one, and then recoding these MSBs and adding a constant, in order that no excluded values are obtained. Supplementary bits signal groups that have been recoded.