Processing device and image processing method for encoding and decoding image

Patent metadata

Field	Value
Publication number	US-9641840-B2
Application number	US-201214113759-A
Country	US
Kind code	B2
Filing date	Apr 10, 2012
Priority date	May 20, 2011
Publication date	May 2, 2017
Grant date	May 2, 2017

Abstract

An image processing device including a decoding section that decodes an encoded stream and generates quantized transform coefficient data, and an inverse quantization section that, taking transform coefficient data as transform units to be used during inverse orthogonal transform, inversely quantizes the quantized transform coefficient data decoded by the decoding section, such that in a case where a non-square transform unit is selected, the inverse quantization section uses a non-square quantization matrix, corresponding to a non-square transform unit, that is generated from a square quantization matrix corresponding to a square transform unit.

First claim

The invention claimed is:

1. An image processing device, comprising:
a processing device; and
a memory encoded with computer-executable instructions to be executed by the processing device, wherein the processing device is configured to:
decode an encoded stream to generate quantized transform coefficient data; and
inversely quantize the quantized transform coefficient data corresponding to a non-square transform unit using a non-square quantization matrix, corresponding to the non-square transform unit, that is generated from a square quantization matrix corresponding to a square transform unit,
wherein the non-square quantization matrix is generated by copying one of row elements and column elements of the square quantization matrix at an equal interval, and
wherein an interval of the one of row elements and column elements to be copied from the square quantization matrix is determined based on a ratio of a size of a short edge of the non-square quantization matrix versus a size of an edge of the square quantization matrix.

2. The image processing device according to claim 1 ,
wherein a size of a long edge of the non-square quantization matrix is equal to the size of the edge of the square quantization matrix.

3. The image processing device according to claim 1 ,
wherein the one of row elements and column elements to be copied from the square quantization matrix are defined.

4. The image processing device according to claim 1 ,
wherein the ratio is 1:4, and the interval is one of four rows and four columns.

5. The image processing device according to claim 4 ,
wherein a size of the square quantization matrix is 4×4, and a size of the non-square quantization matrix is one of 1×4 or 4×1.

6. The image processing device according to claim 1 ,
wherein a size of the square quantization matrix is 8×8, and a size of the non-square quantization matrix is one of 2×8 or 8×2.

7. The image processing device according to claim 4 ,
wherein a size of the square quantization matrix is 16×16, and a size of the non-square quantization matrix is one of 4×16 or 16×4.

8. The image processing device according to claim 4 ,
wherein a size of the square quantization matrix is 32×32, and a size of the non-square quantization matrix is one of 8×32 or 32×8.

9. The image processing device according to claim 1 ,
wherein the processing device is further configured to:
set the non-square quantization matrix from the square quantization matrix.

10. The image processing device according to claim 1 ,
wherein the processing device is further configured to:
inverse orthogonally transform the transform coefficient data inversely quantized based on the non-square transform unit.

11. An image processing method, comprising:
decoding an encoded stream to generate quantized transform coefficient data; and
inversely quantizing the decoded quantized transform coefficient data corresponding to a non-square transform unit using a non-square quantization matrix corresponding to a non-square transform unit, wherein the non-square quantization matrix is generated from a square quantization matrix corresponding to a square transform unit,
wherein the non-square quantization matrix is generated by copying one of row elements and column elements of the square quantization matrix at an equal interval, and
wherein an interval of the one of row elements and column elements to be copied from the square quantization matrix is determined based on a ratio of a size of a short edge of the non-square quantization matrix versus a size of an edge of the square quantization matrix.

12. The image processing method according to claim 11 ,
wherein a size of a long edge of the non-square quantization matrix is equal to the size of the edge of the square quantization matrix.

13. The image processing method according to claim 11 ,
wherein the one of row elements and column elements to be copied from the square quantization matrix are defined.

14. The image processing method according to claim 11 ,
wherein the ratio is 1:4, and the interval is one of four rows and four columns.

15. The image processing method according to claim 14 ,
wherein a size of the square quantization matrix is 4×4, and a size of the non-square quantization matrix is one of 1×4 or 4×1.

16. The image processing method according to claim 14 ,
wherein a size of the square quantization matrix is 8×8, and a size of the non-square quantization matrix is one of 2×8 or 8×2.

17. The image processing method according to claim 14 ,
wherein a size of the square quantization matrix is 16×16, and a size of the non-square quantization matrix is one of 4×16 or 16×4.

18. The image processing method according to claim 14 ,
wherein a size of the square quantization matrix is 32×32, and a size of the non-square quantization matrix is one of 8×32 or 32×8.

19. The image processing method according to claim 11 , further comprising:
setting the non-square quantization matrix from the square quantization matrix.

20. The image processing method according to claim 11 , further comprising:
inverse orthogonally transforming the transform coefficient data inversely quantized according to the non-square transform unit.

Assignees

• Sakurai Hironari
• Tanaka Junichi
• Sony Corp

Inventors

• Sakurai Hironari
• Tanaka Junichi

Classifications

• H04N19/126

  Details of normalisation or weighting functions, e.g. normalisation matrices or variable uniform quantisers · CPC title

• H04N19/597 Primary

  specially adapted for multi-view video sequence encoding · CPC title

• H04N19/176

  the region being a block, e.g. a macroblock · CPC title

• H04N19/30

  using hierarchical techniques, e.g. scalability (H04N19/63 takes precedence) · CPC title

• H04N19/46

  Embedding additional information in the video signal during the compression process (H04N19/517, H04N19/68, H04N19/70 take precedence) · CPC title