Claims
- 1. A method of losslessly compressing and encoding signals representing an image, the method comprising:
generating a lossy compressed data file in a first color component space; generating a residual compressed data file in a second color component space; and combining the lossy data file with the residual data file to create a lossless data file, wherein the lossless data file is substantially identical to the original data file.
- 2. The method as set forth in claim 1, wherein the lossy compressed data file and the residual compressed data file are generated on an intraframe basis.
- 3. The method as set forth in claim 1, wherein the lossy compressed data file and the residual compressed data file are generated on an interframe basis.
- 4. The method set forth in claim 1, wherein generating utilizes a combination of discrete cosine transform (DCT) and discrete quadtree transform (DQT) techniques.
- 5. The method set forth in claim 1, wherein generating utilizes Golomb-Rice coding techniques.
- 6. The method set forth in claim 1, wherein the first color component space is based on the YCBCR color space and the second color component space is based on the RGB color space.
- 7. The method set forth in claim 6, wherein the second color component space is the R, B-G, R-G color component space.
- 8. An apparatus to losslessly compress and encode signals representing an image, the apparatus comprising:
means for generating a lossy compressed data file in a first color component space; means for generating a residual compressed data file in a second color component space; and means for combining the lossy data file with the residual data file to create a lossless data file, wherein the lossless data file is substantially identical to the original data file.
- 9. The apparatus as set forth in claim 8, wherein the means for generating the lossy compressed data file and the means for generating the residual compressed data file are generated on an intraframe basis.
- 10. The apparatus as set forth in claim 8, wherein the means for generating the lossy compressed data file and the means for generating the residual compressed data file are generated on an interframe basis.
- 11. The apparatus set forth in claim 8, wherein the means for generating utilizes a combination of discrete cosine transform (DCT) and discrete quadtree transform (DQT) techniques.
- 12. The apparatus set forth in claim 8, wherein the means for generating utilizes Golomb-Rice coding techniques.
- 13. The apparatus set forth in claim 8, wherein the first color component space is based on the YCBCR color space and the second color component space is based on the RGB color space.
- 14. The apparatus set forth in claim 13, wherein the second color component space is the R, B-G, R-G color component space.
- 15. A method for losslessly compressing and encoding signals representing an image, the method comprising:
compressing the signals representing the image thereby creating a compressed version of the image in a first color component space; quantizing the compressed version of the image thereby creating a lossy version of the image; serializing the quantized compressed version of the image thereby creating a serialized quantized compressed version of the image; decompressing the compressed version of the image; determining the differences between the image and the decompressed version of the image thereby creating a residual version of the image in the first color component space; converting the residual version of the image from the first color component space to a second color component space; and outputting the lossy version of the image and the residual version of the image, wherein the combination of the lossy version of the image and the residual version of the image is substantially the same as the original image.
- 16. The method set forth in claim 15, wherein the lossless compression is on an intraframe basis.
- 17. The method set forth in claim 15, wherein compressing utilizes a combination of discrete cosine transform (DCT) and discrete quadtree transform (DQT) techniques.
- 18. The method set forth in claim 15, wherein serializing utilizes Golomb-Rice coding techniques.
- 19. The method set forth in claim 15, wherein the first color component space is based on the YCBCR color space and the second color component space is based on the RGB color space.
- 20. The method set forth in claim 19, wherein the second color component space is the R, B-G, R-G color component space.
- 21. A method for losslessly compressing and encoding signals representing image information, the image comprising a plurality of frames, the method comprising:
compressing a first frame thereby creating a compressed version of the image; quantizing the compressed version of the image thereby creating a lossy version of the image; serializing the quantized compressed version of the image thereby creating a serialized quantized compressed version of the image; compressing a second frame of signals representing the image; determining the differences between the first frame and the second frame of the image thereby creating a residual version of the image in the first color component space; converting the residual version of the image from the first color component space to a second color component space; and outputting the lossy version of the image with the residual version of the image, wherein the combination of the lossy version of the image and the residual version of the image is substantially the same as the original image.
- 22. The method set forth in claim 21, wherein the lossless compression is on an interframe basis.
- 23. The method set forth in claim 21, wherein compressing utilizes a combination of discrete cosine transform (DCT) and discrete quadtree transform (DQT) techniques.
- 24. The method set forth in claim 21, wherein serializing utilizes Golomb-Rice coding techniques.
- 25. The method set forth in claim 21, wherein the first color component space is based on the YCBCR color space and the second color component space is based on the RGB color space.
- 26. The method set forth in claim 25, wherein the second color component space is the R, B-G, R-G color component space.
- 27. An apparatus for losslessly compressing and encoding signals representing an image, the method comprising:
means for compressing the signals representing the image thereby creating a compressed version of the image in a first color component space; means for quantizing the compressed version of the image thereby creating a lossy version of the image; means for serializing the quantized compressed version of the image thereby creating a serialized quantized compressed version of the image; means for decompressing the compressed version of the image; means for determining the differences between the image and the decompressed version of the image thereby creating a residual version of the image in the first color component space; means for converting the residual version of the image from the first color component space to a second color component space; and means for outputting the lossy version of the image and the residual version of the image, wherein the combination of the lossy version of the image and the residual version of the image is substantially the same as the original image.
- 28. The apparatus set forth in claim 27, wherein the lossless compression is on an intraframe basis.
- 29. The apparatus set forth in claim 27, wherein the means for compressing utilizes a combination of discrete cosine transform (DCT) and discrete quadtree transform (DQT) techniques.
- 30. The apparatus set forth in claim 27, wherein the first color component space is based on the YCBCR color space and the second color component space is based on the RGB color space.
- 31. The apparatus set forth in claim 30, wherein the second color component space is the R, B-G, R-G color component space.
- 32. An apparatus for losslessly compressing and encoding signals representing image information, the image comprising a plurality of frames, the method comprising:
means for compressing a first frame thereby creating a compressed version of the image in a first color component space; means for quantizing the compressed version of the image thereby creating a lossy version of the image; means for serializing the quantized compressed version of the image thereby creating a serialized quantized compressed version of the image; means for compressing a second frame of signals representing the image; means for determining the differences between the first frame and the second frame of the image thereby creating a residual version of the image in the first color component space; means for converting the residual version of the image from the first color component space to a second color component space; and means for outputting the lossy version of the image with the residual version of the image, wherein the combination of the lossy version of the image and the residual version of the image is substantially the same as the original image.
- 33. The apparatus set forth in claim 32, wherein the lossless compression is on an interframe basis.
- 34. The apparatus set forth in claim 32, wherein the means for compressing utilizes a combination of discrete cosine transform (DCT) and discrete quadtree transform (DQT) techniques.
- 35. The apparatus set forth in claim 32, wherein the first color component space is based on the YCBCR color space and the second color component space is based on the RGB color space.
- 36. The apparatus set forth in claim 33, wherein the second color component space is the R, B-G, R-G color component space.
- 37. An apparatus for losslessly compressing and encoding signals representing an image, the method comprising:
a compressor element configured to perform discrete cosine transforms (DCTs) and discrete quadtree transforms (DQTs) to the signals representing the image thereby creating a compressed version of the image in a first color component space; a quantizer element coupled to the compressor element configured to quantize the compressed version of the image thereby creating a lossy version of the image; a serializer element coupled to the quantizer element configured to serialize the quantized compressed version of the image thereby creating a serialized quantized compressed version of the image; a decompressor element configured to perform inverse DCTs (IDCTs) and inverse DQTs (IDQTs) the compressed version of the image; a determiner element configured to determine the differences between the image and the decompressed version of the image thereby creating a residual version of the image in the first color component space; a converter to configured to convert the residual version of the image from the first color component space to a second color component space; and a combiner element configured to combine the lossy version of the image and the residual version of the image, wherein the combination of the lossy version of the image and the residual version of the image is substantially the same as the original image.
- 38. The apparatus set forth in claim 37, wherein the first color component space is based on the YCBCR color space and the second color component space is based on the RGB color space.
- 39. The apparatus set forth in claim 38, wherein the second color component space is the R, B-G, R-G color component space.
CROSS-REFERENCE TO RELATED APPLICATION
[0001] This application claims priority to U.S. Provisional Application Serial No. 60/305,457, filed Jul. 13, 2001, pending, which application is incorporated herein by reference in its entirety.
Provisional Applications (1)
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Number |
Date |
Country |
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60305457 |
Jul 2001 |
US |