1. An image processing device (11), comprising: a filter unit (31a, 31) configured to apply a deblocking filtering to neighboring pixels neighboring a block boundary within a locally decoded image, using a filter parameter set according to a range including a value greater than 12 in case that a quantization parameter is equal to 47 in a relationship between a filter parameter used in case of clipping for the deblocking filter and the quantization parameter, and to generate a filtered image; and an encoding unit (34, 35, 36, 23, 24, 25, 26) configured to encode an image using the filtered image.

2. The image processing device (11) according to claim 1, wherein the filter unit (31a, 31) is configured to apply the deblocking filter using the filter parameter with the value greater than 12 within the range.

3. The image processing device (11) according to claim 2, wherein the filter parameter is a value set according to a quantization parameter.

4. The image processing device (11) according to claim 3, wherein the quantization parameter is an average of quantization parameters between neighboring blocks neighboring the block boundary.

5. The image processing device (11) according to claim 4, wherein the filter unit (31a, 31) is configured to apply the deblocking filter to the neighboring pixels within the decoded image using the filter parameter set according to the range including the value greater than 12 according to a relationship between the average of the quantization parameters and the filter parameter.

6. The image processing device (11) according to claim 5, wherein the deblocking filter is configured to include a weak filter with a first strength and a strong filter with a second strength stronger than the first strength; the filter parameter is a parameter used in case of selecting either one of the weak filter and the strong filter or clipping the filtered pixels after the strong filter.

7. The image processing device (11) according to claim 6, wherein the block boundary is a boundary of a transformer unit for a transform process or a boundary of a prediction unit for a prediction process.

8. The image processing device (11) according to claim 7, wherein the encoding unit (34, 35, 36, 23, 24, 25, 26) comprises: an orthogonal transformation unit (24) configured to perform an orthogonal transformation process on the image to generate transformation coefficient data; a quantization unit (25) configured to perform a quantization process on the transform coefficient data to generate quantized data; and an arithmetic encoding unit (26) configured to perform an arithmetic encoding process on the quantized data.

9. The image processing device (11) according to claim 8, wherein the encoding unit (34, 35, 36, 23, 24, 25, 26) is configured to encode the image according to coding units derived from dividing a largest coding unit recursively.

10. The image processing device (11) according to claim 9, wherein the coding units are derived from dividing the largest coding unit in accordance with a quad-tree structure.

11. The image processing device (11) according to claim 10, wherein the largest coding unit is a coding unit in a root of the quadtree structure.

12. The image processing device (11) according to claim 11, wherein the largest coding unit is a block of fixed size under sequence level, and the coding unit is a block of variable size.

13. An image processing method, comprising: applying a deblocking filtering to neighboring pixels neighboring a block boundary within a locally decoded image, using a filter parameter set according to a range including a value greater than 12 in case that a quantization parameter is equal to 47 in a relationship between a filter parameter used in case of clipping for the deblocking filter and the quantization parameter, and to generate a filtered image; and encoding an image using the filtered image.

14. The image processing method according to claim 13, comprising applying the deblocking filter using the filter parameter with the value greater than 12 within the range.

15. The image processing method according to claim 14, wherein the filter parameter is a value set according to a quantization parameter.

16. The image processing method according to claim 15, wherein the quantization parameter is an average of quantization parameters between neighboring blocks neighboring the block boundary.

17. The image processing method according to claim 16, comprising applying the deblocking filter to the neighboring pixels within the decoded image using the filter parameter set according to the range including the value greater than 12 according to a relationship between the average of the quantization parameters and the filter parameter.

18. The image processing method according to claim 17, wherein the deblocking filter includes a weak filter with a first strength and a strong filter with a second strength stronger than the first strength, and the filter parameter is a parameter used in case of selecting either one of the weak filter and the strong filter or clipping the filtered pixels after the strong filter.

19. The image processing method according to claim 18, wherein the block boundary is a boundary of a transformer unit for a transform process or a boundary of a prediction unit for a prediction process.

20. The image processing method according to claim 19, wherein the encoding comprises: performing an orthogonal transformation process on the image to generate transformation coefficient data; performing a quantization process on the transform coefficient data to generate quantized data; and performing an arithmetic encoding process on the quantized data.

21. The image processing method according to claim 20, comprising encoding the image according to coding units derived from dividing a largest coding unit recursively.

22. The image processing method according to claim 21, wherein the coding units are derived from dividing the largest coding unit in accordance with a quad-tree structure.

23. The image processing method according to claim 22, wherein the largest coding unit is a coding unit in a root of the quadtree structure.

24. The image processing method according to claim 23, wherein the largest coding unit is a block of fixed size under sequence level, and the coding unit is a block of variable size.

We Claim:
1. An image processing device (11), comprising:
a filter unit (31a, 31) configured to apply a deblocking filtering to neighboring pixels neighboring a block boundary within a locally decoded image, using a filter parameter set according to a range including a value greater than 12 in case that a quantization parameter is equal to 47 in a relationship between a filter parameter used in case of clipping for the deblocking filter and the quantization parameter, and to generate a filtered image; and
an encoding unit (34, 35, 36, 23, 24, 25, 26) configured to encode an image using the filtered image.
2. The image processing device (11) according to claim 1, wherein
the filter unit (31a, 31) is configured to apply the deblocking filter using the filter parameter with the value greater than 12 within the range.
3. The image processing device (11) according to claim 2, wherein
the filter parameter is a value set according to a quantization parameter.
4. The image processing device (11) according to claim 3, wherein
the quantization parameter is an average of quantization parameters between neighboring blocks neighboring the block boundary.
5. The image processing device (11) according to claim 4, wherein
the filter unit (31a, 31) is configured to apply the deblocking filter to the neighboring pixels within the decoded image using the filter parameter set according to the range including the value greater than 12 according to a relationship between the average of the quantization parameters and the filter parameter.
6. The image processing device (11) according to claim 5, wherein
the deblocking filter is configured to include a weak filter with a first strength and a strong filter with a second strength stronger than the first strength;

the filter parameter is a parameter used in case of selecting either one of the weak filter and the strong filter or clipping the filtered pixels after the strong filter.
7. The image processing device (11) according to claim 6, wherein
the block boundary is a boundary of a transformer unit for a transform process or a boundary of a prediction unit for a prediction process.
8. The image processing device (11) according to claim 7, wherein
the encoding unit (34, 35, 36, 23, 24, 25, 26) comprises:
an orthogonal transformation unit (24) configured to perform an orthogonal transformation process on the image to generate transformation coefficient data;
a quantization unit (25) configured to perform a quantization process on the transform coefficient data to generate quantized data; and
an arithmetic encoding unit (26) configured to perform an arithmetic encoding process on the quantized data.
9. The image processing device (11) according to claim 8,
wherein the encoding unit (34, 35, 36, 23, 24, 25, 26) is configured to encode the image according to coding units derived from dividing a largest coding unit recursively.
10. The image processing device (11) according to claim 9,
wherein the coding units are derived from dividing the largest coding unit in accordance with a quad-tree structure.
11. The image processing device (11) according to claim 10,
wherein the largest coding unit is a coding unit in a root of the quadtree structure.
12. The image processing device (11) according to claim 11,
wherein the largest coding unit is a block of fixed size under sequence level, and the coding unit is a block of variable size.

13. An image processing method, comprising:
applying a deblocking filtering to neighboring pixels neighboring a block boundary within a locally decoded image, using a filter parameter set according to a range including a value greater than 12 in case that a quantization parameter is equal to 47 in a relationship between a filter parameter used in case of clipping for the deblocking filter and the quantization parameter, and to generate a filtered image; and
encoding an image using the filtered image.
14. The image processing method according to claim 13, comprising
applying the deblocking filter using the filter parameter with the value greater than 12 within the range.
15. The image processing method according to claim 14, wherein
the filter parameter is a value set according to a quantization parameter.
16. The image processing method according to claim 15, wherein
the quantization parameter is an average of quantization parameters between neighboring blocks neighboring the block boundary.
17. The image processing method according to claim 16, comprising
applying the deblocking filter to the neighboring pixels within the decoded image using the filter parameter set according to the range including the value greater than 12 according to a relationship between the average of the quantization parameters and the filter parameter.
18. The image processing method according to claim 17, wherein
the deblocking filter includes a weak filter with a first strength and a strong filter with a second strength stronger than the first strength, and
the filter parameter is a parameter used in case of selecting either one of the weak filter and the strong filter or clipping the filtered pixels after the strong filter.
19. The image processing method according to claim 18, wherein

the block boundary is a boundary of a transformer unit for a transform process or a boundary of a prediction unit for a prediction process.
20. The image processing method according to claim 19, wherein
the encoding comprises:
performing an orthogonal transformation process on the image to generate transformation coefficient data;
performing a quantization process on the transform coefficient data to generate quantized data; and
performing an arithmetic encoding process on the quantized data.
21. The image processing method according to claim 20,
comprising
encoding the image according to coding units derived from dividing a largest coding unit recursively.
22. The image processing method according to claim 21,
wherein the coding units are derived from dividing the largest coding unit in accordance with a quad-tree structure.
23. The image processing method according to claim 22,
wherein the largest coding unit is a coding unit in a root of the quadtree structure.
24. The image processing method according to claim 23,
wherein the largest coding unit is a block of fixed size under sequence level, and the coding unit is a block of variable size.