Lossless compression process for interferograms
A process and apparatus for lossless data compression including the step of generating characteristic tables for predicted intensities as a function of radius values f(i,j)) on at least one type of preferred axes. Intensity signals of a detector matrix (I(i,j)) are used to implement the invention.
1. A process for the lossless data compression comprising:
generating, by a processor, characteristic tables for predicted intensities as a function of pixel radius values f(i,j) on at least one type of preferred axes; and
applying, by the processor, the characteristic tables to intensity signals of a detector matrix (I(i,j)), wherein said applying step includes generating a reference image (R(i,j)) using the characteristic tables.
2. The process according to claim 1 , wherein said applying step further includes determining a difference image (D(i,j)), using the intensities of the detector matrix (I(i,j)) and of the reference image (R(i,j)).
3. The process according to claim 2 , wherein said applying step further includes coding the difference image (D(i,j)) using a compression algorithm.
4. The process according to claim 3 , further comprising transmitting the coded difference image (D(i,j)) and the characteristic tables.
5. The process according to claim 4 , further comprising:
decoding the difference image (D(i,j));
reconstructing the reference image (R(i,j)) by means of the characteristic tables; and
reconstructing of intensities of the detector matrix (I(i,j)).
6. The process according to claim 1 , wherein two types of preferred axes are used.
7. The process according to claim 6 , wherein the first type of preferred axes comprise diagonal axes, and the second type of preferred axes comprise center axes.
8. The process according to claim 1 , wherein intensities of the detector matrix (I(i,j)) are given by circular two-dimensional interference patterns of imaging Fourier transform spectrometers.
9. Apparatus for the lossless data compression, the apparatus comprising:
a processor configured to
generate characteristic tables for predicted intensities as a function of pixel radius values f(i,j) on at least one type of preferred axes; and
apply the characteristic tables to intensity signals of a detector matrix (I(i,j)), wherein the applying includes generating a reference image (R(i,j)) using the characteristic tables.