Performing transform dependent de-blocking filtering
US-9185404-B2 · Nov 10, 2015 · US
US9237350B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9237350-B2 |
| Application number | US-201414305199-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 16, 2014 |
| Priority date | Jun 16, 2014 |
| Publication date | Jan 12, 2016 |
| Grant date | Jan 12, 2016 |
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A system and method of operation of an image processing system includes: an imaging device for receiving a source image; a mode module for receiving a random access block of an integral image formed by summing a portion of the source image, and for calculating a chosen mode and a quantization number from the random access block; a quantization module for forming a quantized block by shifting the random access block based on the chosen mode; a predictor module for calculating a predictor block based on the quantized block; and a fixed length coding module for calculating a residual block by subtracting the predictor block from the quantized block, for calculating a fixed length coding residual based on the chosen mode and the residual block, and for forming an image bitstream having the quantization number and the fixed length coding residual.
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What is claimed is: 1. A method of operation of an image processing system comprising: receiving a random access block of an integral image, the integral image formed by summing a portion of a source image received from an imaging device; calculating a chosen mode and a quantization number from the random access block; forming a quantized block by shifting the random access block based on the chosen mode; calculating a predictor block based on the quantized block; calculating a residual block by subtracting the predictor block from the quantized block; calculating a fixed length coding residual based on the chosen mode and the residual block; and forming an image bitstream having the quantization number and the fixed length coding residual. 2. The method as claimed in claim 1 wherein calculating the predictor block includes calculating the predictor block based on the chosen mode, the predictor block having a second order derivative of the quantized block. 3. The method as claimed in claim 1 wherein calculating the predictor block includes calculating the predictor block based on the chosen mode, the predictor block having a first order derivative of the quantized block. 4. The method as claimed in claim 1 wherein forming the image bitstream includes forming the image bitstream having a first order derivative of the quantized block and a second order derivative of the quantized block. 5. The method as claimed in claim 1 wherein calculating the chosen mode includes selecting the chosen mode from a quantization number list. 6. A method of operation of an image processing system comprising: receiving a random access block of an integral image, the integral image formed by summing a portion of a source image received from an imaging device; calculating a chosen mode and a quantization number from the random access block; forming a quantized block by shifting the random access block based on the chosen mode; calculating a predictor block based on the quantized block; calculating a residual block by subtracting the predictor block from the quantized block; calculating a fixed length coding residual based on the chosen mode and the residual block; calculating refinement bits based on the random access block and a refinement bits number; and forming an image bitstream having the quantization number, the fixed length coding residual, and the refinement bits. 7. The method as claimed in claim 6 wherein calculating the predictor block includes calculating the predictor block based on the chosen mode, the predictor block having a second order derivative of the quantized block. 8. The method as claimed in claim 6 wherein calculating the predictor block includes calculating the predictor block based on the chosen mode, the predictor block having a first order derivative of the quantized block. 9. The method as claimed in claim 6 wherein forming the image bitstream includes forming the image bitstream having a first order derivative of the quantized block and a second order derivative of the quantized block. 10. The method as claimed in claim 6 wherein calculating the chosen mode includes selecting the chosen mode from a quantization number list. 11. An image processing system comprising: an imaging device for receiving a source image; a mode module, coupled to the imaging device, for receiving a random access block of an integral image formed by summing a portion of the source image, and for calculating a chosen mode and a quantization number from the random access block; a quantization module, coupled to the mode module, for forming a quantized block by shifting the random access block based on the chosen mode; a predictor module, coupled to the quantization module, for calculating a predictor block based on the quantized block; and a fixed length coding module, coupled to the predictor module, for calculating a residual block by subtracting the predictor block from the quantized block, for calculating a fixed length coding residual based on the chosen mode and the residual block, and for forming an image bitstream having the quantization number and the fixed length coding residual. 12. The system as claimed in claim 11 , wherein the predictor module is for calculating the predictor block based on the chosen mode with the predictor block having a second order derivative of the quantized block. 13. The system as claimed in claim 11 , wherein the predictor module is for calculating the predictor block based on the chosen mode with the predictor block having a first order derivative of the quantized block. 14. The system as claimed in claim 11 , wherein the fixed length coding module is for forming the image bitstream having a first order derivative of the quantized block and a second order derivative of the quantized block. 15. The system as claimed in claim 11 , wherein the mode module is for selecting the chosen mode from a quantization number list. 16. The system as claimed in claim 11 , further comprising a refinement module, coupled to the fixed length coding module, for calculating refinement bits based on the random access block and a refinement bits number, and for forming the image bitstream having the refinement bits. 17. The system as claimed in claim 16 , wherein the predictor module is for calculating the predictor block based on the chosen mode with the predictor block having a second order derivative of the quantized block. 18. The system as claimed in claim 16 , wherein the predictor module is for calculating the predictor block based on the chosen mode with the predictor block having a first order derivative of the quantized block. 19. The system as claimed in claim 16 , wherein the fixed length coding module is for forming the image bitstream having a first order derivative of the quantized block and a second order derivative of the quantized block. 20. The system as claimed in claim 16 , wherein the mode module is for selecting the chosen mode from a quantization number list.
Details of normalisation or weighting functions, e.g. normalisation matrices or variable uniform quantisers · CPC title
using predictive coding (H04N19/61 takes precedence) · CPC title
the region being a block, e.g. a macroblock · CPC title
Assigned coding mode, i.e. the coding mode being predefined or preselected to be further used for selection of another element or parameter · CPC title
Adaptive entropy coding, e.g. adaptive variable length coding [AVLC] or context adaptive binary arithmetic coding [CABAC] · CPC title
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