CA2423165A1 - System and method for progressively transforming and coding digital data - Google Patents
System and method for progressively transforming and coding digital data Download PDFInfo
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- CA2423165A1 CA2423165A1 CA002423165A CA2423165A CA2423165A1 CA 2423165 A1 CA2423165 A1 CA 2423165A1 CA 002423165 A CA002423165 A CA 002423165A CA 2423165 A CA2423165 A CA 2423165A CA 2423165 A1 CA2423165 A1 CA 2423165A1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/46—Colour picture communication systems
- H04N1/64—Systems for the transmission or the storage of the colour picture signal; Details therefor, e.g. coding or decoding means therefor
- H04N1/646—Transmitting or storing colour television type signals, e.g. PAL, Lab; Their conversion into additive or subtractive colour signals or vice versa therefor
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/41—Bandwidth or redundancy reduction
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/60—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/60—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding
- H04N19/63—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding using sub-band based transform, e.g. wavelets
- H04N19/635—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding using sub-band based transform, e.g. wavelets characterised by filter definition or implementation details
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/90—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using coding techniques not provided for in groups H04N19/10-H04N19/85, e.g. fractals
- H04N19/91—Entropy coding, e.g. variable length coding [VLC] or arithmetic coding
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/90—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using coding techniques not provided for in groups H04N19/10-H04N19/85, e.g. fractals
- H04N19/93—Run-length coding
Abstract
A system and method facilitating progressively transforming and coding digital pictures is provided. The present invention via employment of a multi-resolution lapped transform provides for progressive rendering as well as mitigation of blocking artifacts and ringing artifacts as compared to many conventional compression systems.
The invention includes a color space mapper, a multi-resolution lapped transform, a quantizer, a scanner and an entropy encoder. The multi-resolution lapped transform outputs transform coefficients, for example, first transform coefficients and second transform coefficients. A multi-resolution representation can be obtained utilizing second transform coefficients of the multi-resolution lapped transform. The color space mapper maps an input image to a color space representation of the input image. The color space representation of the input image is then provided to the multi-resolution lapped transform. The quantizer receives the first transform coefficients and/or the second transform coefficients and provides an output of quantized coefficients for use by the scanner and/or the entropy encoder. The scanner scans the quantized coefficients in order to produce a one-dimensional vector for use by the entropy encoder. The entropy encoder encodes the quantized coefficients received from the quantizer and/or the scanner resulting in data compression.
The invention includes a color space mapper, a multi-resolution lapped transform, a quantizer, a scanner and an entropy encoder. The multi-resolution lapped transform outputs transform coefficients, for example, first transform coefficients and second transform coefficients. A multi-resolution representation can be obtained utilizing second transform coefficients of the multi-resolution lapped transform. The color space mapper maps an input image to a color space representation of the input image. The color space representation of the input image is then provided to the multi-resolution lapped transform. The quantizer receives the first transform coefficients and/or the second transform coefficients and provides an output of quantized coefficients for use by the scanner and/or the entropy encoder. The scanner scans the quantized coefficients in order to produce a one-dimensional vector for use by the entropy encoder. The entropy encoder encodes the quantized coefficients received from the quantizer and/or the scanner resulting in data compression.
Claims (54)
1. A picture compression system, comprising:
a first lapped bi-orthogonal transform that receives input values, the first lapped bi-orthogonal transform providing an output comprising first transform coefficients, the first transform coefficients being based, at least in part, upon a lapped bi-orthogonal transform of the input values; and, a second lapped bi-orthogonal transform that receives at least one of the first transform coefficients from the first lapped bi-orthogonal transform, the second lapped bi-orthogonal transform providing an output comprising a second transform coefficient, the second transform coefficient being based, at least in part, upon a lapped bi-orthogonal transform of the at least one first transform coefficients.
a first lapped bi-orthogonal transform that receives input values, the first lapped bi-orthogonal transform providing an output comprising first transform coefficients, the first transform coefficients being based, at least in part, upon a lapped bi-orthogonal transform of the input values; and, a second lapped bi-orthogonal transform that receives at least one of the first transform coefficients from the first lapped bi-orthogonal transform, the second lapped bi-orthogonal transform providing an output comprising a second transform coefficient, the second transform coefficient being based, at least in part, upon a lapped bi-orthogonal transform of the at least one first transform coefficients.
2. The picture compression system of claim 1, further comprising a color space mapper that maps an input image to a YC o C g representation of the input image, the color space mapper providing the YC o C g representation as input values to the first lapped bi-orthogonal transform.
3. The picture compression system of claim 1, further comprising a color space mapper that maps an input image to a YUV representation of the input image, the color space mapper providing the YUV representation as input values to the first lapped bi-orthogonal transform.
4. The picture compression system of claim 1, further comprising a quantizer that quantizes at least one of the first transform coefficients and the second transform coefficient, the quantizer providing an output of quantized coefficients.
5. The picture compression system of claim 4, further comprising a scanner that scans the quantized coefficients.
6. The picture compression system of claim 5, the scanner using, at least in part, a Peano-like scanning order.
7. The picture compression system of claim 4, further comprising an entropy encoder that digitally entropy encodes the quantized coefficients.
8. The picture compression system of claim 1, the first lapped bi-orthogonal transform utilizing integer math in performing the lapped bi-orthogonal transform of the input values.
9. The picture compression system of claim 1, the first lapped bi-orthogonal transform utilizing floating point math in performing the lapped bi-orthogonal transform of the input values.
10. A photocopier employing the picture compression system of claim 1.
11. A document scanner employing the picture compression system of claim 1.
12. An optical character recognition system employing the picture compression system of claim 1.
13. A personal digital assistant employing the picture compression system of claim 1.
14. A fax machine employing the picture compression system of claim 1.
15. A digital camera employing the picture compression system of claim 1.
16. A digital video camera employing the picture compression system of claim 1.
17. A segmented layered image system employing the picture compression system of claim 1.
18. A video game employing the picture compression system of claim 1
19. A picture compression system, comprising:
a color space mapper that maps an input image to a color space representation;
a lossless transform that receives input values from the color space mapper, the lossless transform providing an output comprising lossless transformed coefficients, the lossless transform coefficients being based, at least in part, upon a hierarchical Hadamard transform of the input values; and, an entropy encoder that digitally entropy encodes the lossless transformed coefficients.
a color space mapper that maps an input image to a color space representation;
a lossless transform that receives input values from the color space mapper, the lossless transform providing an output comprising lossless transformed coefficients, the lossless transform coefficients being based, at least in part, upon a hierarchical Hadamard transform of the input values; and, an entropy encoder that digitally entropy encodes the lossless transformed coefficients.
20. The picture compression system of claim 19, the color space mapper mapping the input image to a Y C o C g representation of the input image.
21. A picture decompression system, comprising:
an entropy decoder that digitally entropy decodes an input bit stream;
an inverse transform component that receives input values from the entropy decoder, the inverse transform component utilizing inverse hierarchical lapped bi-orthogonal transforms and providing output values; and, a reverse color space mapper that maps output values from the inverse transform component to an RGB output image.
an entropy decoder that digitally entropy decodes an input bit stream;
an inverse transform component that receives input values from the entropy decoder, the inverse transform component utilizing inverse hierarchical lapped bi-orthogonal transforms and providing output values; and, a reverse color space mapper that maps output values from the inverse transform component to an RGB output image.
22. The picture decompression system of claim 21, the reverse color space mapper mapping the output values from a YC o C g representation.
23. The picture decompression system of claim 21, further comprising a reverse scanner that reverse scans the entropy decoded input bit stream, the reverse scanner providing an output of at least one of quantized first transform coefficients and quantized second transform coefficients.
24. The picture decompression system of claim 23, further comprising an inverse quantizer that inverse quantizes the at least one of quantized first transform coefficients and quantized second transform coefficients, the inverse quantizer providing an output of unquantized coefficients.
25. A picture decompression system, comprising:
an entropy decoder that digitally entropy decodes an input bit stream;
an inverse transform component that receives input values from the entropy decoder, the inverse transform component utilizing inverse hierarchical Hadamard transforms and providing output values; and, a reverse color space mapper chat maps output values from the inverse transform component to an RGB output image.
an entropy decoder that digitally entropy decodes an input bit stream;
an inverse transform component that receives input values from the entropy decoder, the inverse transform component utilizing inverse hierarchical Hadamard transforms and providing output values; and, a reverse color space mapper chat maps output values from the inverse transform component to an RGB output image.
26. The picture decompression system of claim 21, the reverse color space mapper mapping the output values from a YC o C g representation.
27. The picture decompression system of claim 21, further comprising a reverse scanner that reverse scans the entropy decoded input bit stream, the reverse scanner providing an output of at least one of quantized first transform coefficients and quantized second transform coefficients.
28. The picture decompression system of claim 23, further comprising an inverse quantizer that inverse quantizes the at least one of quantized first transform coefficients and quantized second transform coefficients, the inverse quantizer providing an output of unquantized coefficients.
29. A method for picture data compression/encoding, comprising:
providing first level coefficients based, at least in part, upon a bi-orthogonal lapped transform of input values; and, providing a second level coefficient based, at least in part, upon a bi-orthogonal lapped transform of first level coefficients.
providing first level coefficients based, at least in part, upon a bi-orthogonal lapped transform of input values; and, providing a second level coefficient based, at least in part, upon a bi-orthogonal lapped transform of first level coefficients.
30. The method of claim 29, further comprising at least one of the following acts:
quantizing the first level coefficients;
quantizing the second level coefficient;
scanning at least one of the first level coefficients and the second level coefficient; and, encoding at least one of the first level coefficients and the second level coefficient.
quantizing the first level coefficients;
quantizing the second level coefficient;
scanning at least one of the first level coefficients and the second level coefficient; and, encoding at least one of the first level coefficients and the second level coefficient.
31. A method for picture data decompression/decoding, comprising:
decoding coefficients;
providing second level coefficients based, at least in part, upon an inverse bi-orthogonal lapped transform of decoded coefficients; and, providing first level coefficients based, at least in part, upon an inverse bi-orthogonal lapped transform of second level coefficients and decoded coefficients.
decoding coefficients;
providing second level coefficients based, at least in part, upon an inverse bi-orthogonal lapped transform of decoded coefficients; and, providing first level coefficients based, at least in part, upon an inverse bi-orthogonal lapped transform of second level coefficients and decoded coefficients.
32. A method for picture data compression/encoding, comprising:
providing first level coefficients based, at least in part, upon a hierarchical Hadamard transform of input values; and, providing a second level coefficient based, at least in part, upon hierarchical Hadamard transform of first level coefficients.
providing first level coefficients based, at least in part, upon a hierarchical Hadamard transform of input values; and, providing a second level coefficient based, at least in part, upon hierarchical Hadamard transform of first level coefficients.
33. The method of claim 32, further comprising at least one of the following acts:
quantizing the first level coefficients;
quantizing the second level coefficient;
scanning at least one of the first level coefficients and the second level coefficient; and, encoding at least one of the first level coefficients and the second level coefficient.
quantizing the first level coefficients;
quantizing the second level coefficient;
scanning at least one of the first level coefficients and the second level coefficient; and, encoding at least one of the first level coefficients and the second level coefficient.
34. A method for picture data decompression/decoding, comprising:
decoding coefficients;
providing second level coefficients based, at least in part, upon an inverse hierarchical Hadamard transform of decoded coefficients; and, providing first level coefficients based, at least in part, upon an inverse hierarchical Hadamard transform of second level coefficients and decoded coefficients.
decoding coefficients;
providing second level coefficients based, at least in part, upon an inverse hierarchical Hadamard transform of decoded coefficients; and, providing first level coefficients based, at least in part, upon an inverse hierarchical Hadamard transform of second level coefficients and decoded coefficients.
35. A method for scanning quantized multi-resolution lapped transform coefficients of a data chunk, comprising:
scanning at least one second level coefficient for each macroblock in the chunk;
scanning the remaining second level coefficients for the macroblock; and scanning a second group of first level coefficients for each block in the macroblock.
scanning at least one second level coefficient for each macroblock in the chunk;
scanning the remaining second level coefficients for the macroblock; and scanning a second group of first level coefficients for each block in the macroblock.
36. The method of claim 35, further comprising scanning a third group of first level coefficients for each block in the macroblock.
37. The method of claim 36, further comprising scanning a fourth group of first level coefficients for each block in the macroblock.
38. The method of claim 37, further comprising scanning a fifth group of first level coefficients for each block in the macroblock.
39. A data packet transmitted between two or more computer components that facilitates data compression, the data packet comprising:
a data field comprising first transform coefficients based, at least in part, upon a lapped bi-orthogonal transform of input values; and, second transform coefficients based, at least in part, upon a lapped bi-orthogonal transform of at least one first transform coefficient.
a data field comprising first transform coefficients based, at least in part, upon a lapped bi-orthogonal transform of input values; and, second transform coefficients based, at least in part, upon a lapped bi-orthogonal transform of at least one first transform coefficient.
40. A data packet transmitted between two or more computer components that facilitates data compression, the data packet comprising:
a data field comprising first transform coefficients based, at least in pan, upon a hierarchical Hadamard transform of input values; and, second transform coefficients based, at least in part, upon a hierarchical Hadamard transform of at least one first transform coefficient.
a data field comprising first transform coefficients based, at least in pan, upon a hierarchical Hadamard transform of input values; and, second transform coefficients based, at least in part, upon a hierarchical Hadamard transform of at least one first transform coefficient.
41. A computer readable medium storing computer executable components of a system for picture compression, comprising:
a first lapped bi-orthogonal transform component that receives input values, the first lapped bi-orthogonal transform component providing an output comprising first transform coefficients, the first transform coefficients being based, at least in part, upon a lapped bi-orthogonal transform of the input values; and, a second lapped bi-orthogonal transform component that receives at least one of the first transform coefficients from the first lapped bi-orthogonal transform component, the second lapped bi-orthogonal transform component providing an output comprising a second transform coefficient, the second transform coefficient being based, at least in part, upon a lapped bi-orthogonal transform of the at least one first transform coefficients.
a first lapped bi-orthogonal transform component that receives input values, the first lapped bi-orthogonal transform component providing an output comprising first transform coefficients, the first transform coefficients being based, at least in part, upon a lapped bi-orthogonal transform of the input values; and, a second lapped bi-orthogonal transform component that receives at least one of the first transform coefficients from the first lapped bi-orthogonal transform component, the second lapped bi-orthogonal transform component providing an output comprising a second transform coefficient, the second transform coefficient being based, at least in part, upon a lapped bi-orthogonal transform of the at least one first transform coefficients.
42. A computer readable medium storing computer executable components of a system for picture compression, comprising:
a first hierarchical Hadamard transform component that receives input values, the first hierarchical Hadamard transform component providing an output comprising first transform coefficients, the first transform coefficients being based, at least in part, upon a hierarchical Hadamard transform of the input values; and, a second hierarchical Hadamard transform component that receives at least one of the first transform coefficients from the first hierarchical Hadamard transform component, the second hierarchical Hadamard transform component providing an output comprising a second transform coefficient, the second transform coefficient being based, at least in part, upon a hierarchical Hadamard transform of the at least one first transform coefficients.
a first hierarchical Hadamard transform component that receives input values, the first hierarchical Hadamard transform component providing an output comprising first transform coefficients, the first transform coefficients being based, at least in part, upon a hierarchical Hadamard transform of the input values; and, a second hierarchical Hadamard transform component that receives at least one of the first transform coefficients from the first hierarchical Hadamard transform component, the second hierarchical Hadamard transform component providing an output comprising a second transform coefficient, the second transform coefficient being based, at least in part, upon a hierarchical Hadamard transform of the at least one first transform coefficients.
43. A computer readable medium storing computer executable components of a system for picture decompression, comprising:
an entropy decoder component that digitally entropy decodes an input bit stream;
an inverse transform component that receives input values from the entropy decoder component, the inverse transform component utilizing inverse hierarchical lapped bi-orthogonal transforms and providing output values; and, a reverse color space mapper component that maps output values from the inverse transform component to an RGB output image.
an entropy decoder component that digitally entropy decodes an input bit stream;
an inverse transform component that receives input values from the entropy decoder component, the inverse transform component utilizing inverse hierarchical lapped bi-orthogonal transforms and providing output values; and, a reverse color space mapper component that maps output values from the inverse transform component to an RGB output image.
44. A computer readable medium storing computer executable components of a system for picture decompression, comprising:
an entropy decoder component chat digitally entropy decodes an input bit stream;
an inverse transform component that input values from the entropy decoder component, the inverse transform component utilizing inverse hierarchical Hadamard transforms and providing output values; and, a reverse color space mapper that maps output values from the inverse transform component to an RGB output image.
an entropy decoder component chat digitally entropy decodes an input bit stream;
an inverse transform component that input values from the entropy decoder component, the inverse transform component utilizing inverse hierarchical Hadamard transforms and providing output values; and, a reverse color space mapper that maps output values from the inverse transform component to an RGB output image.
45. A picture compression system, comprising:
means for color space mapping an input image to a color space representation;
means for performing a multi-resolution lapped transform of the color space representation and providing first transform coefficients and second transform coefficients;
means for quantizing the first transform coefficients and the second transform coefficients;
means for scanning the first transform coefficients and the second transform coefficients; and, means for digitally entropy encoding the scanned first transform coefficients and the second transform coefficients.
means for color space mapping an input image to a color space representation;
means for performing a multi-resolution lapped transform of the color space representation and providing first transform coefficients and second transform coefficients;
means for quantizing the first transform coefficients and the second transform coefficients;
means for scanning the first transform coefficients and the second transform coefficients; and, means for digitally entropy encoding the scanned first transform coefficients and the second transform coefficients.
46. A method for color space mapping, comprising:
receiving an RGB input;
providing a Y channel output comprising a representation of average light intensity of the RGB input;
providing a Co channel output comprising a representation of color information of the RGB input across a near orange direction; and, providing a C o channel output comprising a representation of color information of the RGB input across a near green direction.
receiving an RGB input;
providing a Y channel output comprising a representation of average light intensity of the RGB input;
providing a Co channel output comprising a representation of color information of the RGB input across a near orange direction; and, providing a C o channel output comprising a representation of color information of the RGB input across a near green direction.
47. The method of claim 46, further comprising at least one of the following acts:
the RGB input comprising an R component, a G component and a B component;
providing the Y channel being based, at least in pan, upon R + 2G +B;
providing the C o channel being based, at least in part, upon 2R - 2B; and, providing the C g channel being based, at least in part, upon -R + 2G -B.
the RGB input comprising an R component, a G component and a B component;
providing the Y channel being based, at least in pan, upon R + 2G +B;
providing the C o channel being based, at least in part, upon 2R - 2B; and, providing the C g channel being based, at least in part, upon -R + 2G -B.
48. The method of claim 46, further comprising at least one of the following acts:
providing the Y channel being performed using additions and shifts;
providing the C o channel being performed using additions and shifts; and, providing the C g channel being performed using additions and shifts.
providing the Y channel being performed using additions and shifts;
providing the C o channel being performed using additions and shifts; and, providing the C g channel being performed using additions and shifts.
49. The method of claim 46, the R component being able to be recovered by reverse mapping of the YC o C g channels.
50. The method of claim 46, the G component being able to be recovered by reverse mapping of the YC o C g channels.
51. The method of claim 46, the B component being able to be recovered by reverse mapping of the YC o C g channels.
52. A method for reverse color space mapping, comprising:
receiving a YC o C g input comprising a Y channel representing an average light intensity, a C o channel representing color information across a near orange direction, and a C g channel representing color information across a near green direction;
providing an R component based, at least in part, upon the YC o C g input;
providing a G component based, at least in pari, upon the YC o C g input ;
and, providing a B component based at least in part, upon the YC o C g input.
receiving a YC o C g input comprising a Y channel representing an average light intensity, a C o channel representing color information across a near orange direction, and a C g channel representing color information across a near green direction;
providing an R component based, at least in part, upon the YC o C g input;
providing a G component based, at least in pari, upon the YC o C g input ;
and, providing a B component based at least in part, upon the YC o C g input.
53. The method of claim 52, further comprising at least one of the following acts:
providing the R component being based, at least in part, upon Y + C o- C g;
providing the G component being based, at least in part, upon Y + C g; and, providing the B component channel being based, at least in part, Y - C o- C g.
providing the R component being based, at least in part, upon Y + C o- C g;
providing the G component being based, at least in part, upon Y + C g; and, providing the B component channel being based, at least in part, Y - C o- C g.
54. The method of claim 52, further comprising at least one of the following acts:
providing the R component being performed using additions and shifts;
providing the G component being performed using additions and shifts; and, providing the B component being performed using additions and shifts.
providing the R component being performed using additions and shifts;
providing the G component being performed using additions and shifts; and, providing the B component being performed using additions and shifts.
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| CA2775622A CA2775622C (en) | 2002-03-27 | 2003-03-24 | System and method for progressively transforming and coding digital data |
| CA2775691A CA2775691C (en) | 2002-03-27 | 2003-03-24 | System and method for progressively transforming and coding digital data |
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| US10/109,291 US7006699B2 (en) | 2002-03-27 | 2002-03-27 | System and method for progressively transforming and coding digital data |
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| CA2775622A Division CA2775622C (en) | 2002-03-27 | 2003-03-24 | System and method for progressively transforming and coding digital data |
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| CA2423165A1 true CA2423165A1 (en) | 2003-09-27 |
| CA2423165C CA2423165C (en) | 2012-07-17 |
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