IP Library Granted Patent US 9,843,805
Granted Patent B2
US 9,843,805 · App. 15/369,429 · Granted Dec 12, 2017

Image processing device and image processing method

Inventor: Kazushi Sato (Kanagawa, JP)
Assignee: Velos Media, LLC
H04N19/124G06T9/007H04N7/52H04N19/115H04N19/122H04N19/126H04N19/129H04N19/172H04N19/176H04N19/177H04N19/463H04N19/61H04N19/615H04N19/70H04N19/82H04N19/18
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 9,843,805
App. No.
15/369,429
Granted
Dec 12, 2017
Kind
B2
Abstract

Provided is an image processing device including a selection section configured to select, from a plurality of transform units with different sizes, a transform unit used for inverse orthogonal transformation of image data to be decoded, a generation section configured to generate, from a first quantization matrix corresponding to a transform unit for a first size, a second quantization matrix corresponding to a transform unit for a second size from a first quantization matrix corresponding to a transform unit for a first size, and an inverse quantization section configured to inversely quantize transform coefficient data for the image data using the second quantization matrix generated by the generation section when the selection section selects the transform unit for the second size.

Claims (1323)

1. An image processing device comprising:

circuitry configured to:

quantize transform coefficient data for 16×16 transform unit using a 16×16 quantization matrix to generate quantized transform coefficient data, the 16×16 quantization matrix set by performing a nearest neighboring process including duplicating at least one of two elements adjacent to each other in an 8×8 quantization matrix; and

encode the quantized transform coefficient data to generate a bit stream including the 8×8 quantization matrix as a parameter set.

2. The image processing device according to claim 1 , wherein the circuitry is configured to generate the bit stream including the 8×8 quantization matrix as a picture parameter set.

3. The image processing device according to claim 1 , wherein the circuitry is configured to set the 16×16 quantization matrix by performing the nearest neighboring process including duplicating at least one of two elements adjacent to each other in the 8×8 quantization matrix.

4. The image processing device according to claim 1 , wherein the circuitry is configured to quantize the transform coefficient data using the 16×16 quantization matrix (QM1) set by performing the nearest neighboring process on the elements in the 8×8 quantization matrix (QM2):

QM

1

=

(

a

00

a

00

a

10

a

10

a

20

a

20

a

30

a

30

a

40

a

40

a

50

a

50

a

60

a

60

a

70

a

70

a

00

a

00

a

10

a

10

a

20

a

20

a

30

a

30

a

40

a

40

a

50

a

50

a

60

a

60

a

70

a

70

a

01

a

01

a

11

a

11

a

21

a

21

a

31

a

31

a

41

a

41

a

51

a

51

a

61

a

61

a

71

a

71

a

01

a

01

a

11

a

11

a

21

a

21

a

31

a

31

a

41

a

41

a

51

a

51

a

61

a

61

a

71

a

71

a

02

a

02

a

12

a

12

a

22

a

22

a

32

a

32

a

42

a

42

a

52

a

52

a

62

a

62

a

72

a

72

a

02

a

02

a

12

a

12

a

22

a

22

a

32

a

32

a

42

a

42

a

52

a

52

a

62

a

62

a

72

a

72

a

03

a

03

a

13

a

13

a

23

a

23

a

33

a

33

a

43

a

43

a

53

a

53

a

63

a

63

a

73

a

73

a

03

a

03

a

13

a

13

a

23

a

23

a

33

a

33

a

43

a

43

a

53

a

53

a

63

a

63

a

73

a

73

a

04

a

04

a

14

a

14

a

24

a

24

a

34

a

34

a

44

a

44

a

54

a

54

a

64

a

64

a

74

a

74

a

04

a

04

a

14

a

14

a

24

a

24

a

34

a

34

a

44

a

44

a

54

a

54

a

64

a

64

a

74

a

74

a

05

a

05

a

15

a

15

a

25

a

25

a

35

a

35

a

45

a

45

a

55

a

55

a

65

a

65

a

75

a

75

a

05

a

05

a

15

a

15

a

25

a

25

a

35

a

35

a

45

a

45

a

55

a

55

a

65

a

65

a

75

a

75

a

06

a

06

a

16

a

16

a

26

a

26

a

36

a

36

a

46

a

46

a

56

a

56

a

66

a

66

a

76

a

76

a

06

a

06

a

16

a

16

a

26

a

26

a

36

a

36

a

46

a

46

a

56

a

56

a

66

a

66

a

76

a

76

a

07

a

07

a

17

a

17

a

27

a

27

a

37

a

37

a

47

a

47

a

57

a

57

a

67

a

67

a

77

a

77

a

07

a

07

a

17

a

17

a

27

a

27

a

37

a

37

a

47

a

47

a

57

a

57

a

67

a

67

a

77

a

77

)

QM

2

=

(

a

00

a

10

a

20

a

30

a

40

a

50

a

60

a

70

a

01

a

11

a

21

a

31

a

41

a

51

a

61

a

71

a

02

a

12

a

22

a

32

a

42

a

52

a

62

a

72

a

03

a

13

a

23

a

33

a

43

a

53

a

63

a

73

a

04

a

14

a

24

a

34

a

44

a

54

a

64

a

74

a

05

a

15

a

25

a

35

a

45

a

55

a

65

a

75

a

06

a

16

a

26

a

36

a

46

a

56

a

66

a

76

a

07

a

17

a

27

a

37

a

47

a

57

a

67

a

77

)

.

5. An image processing method comprising:

quantizing, via circuitry of an image processing device, transform coefficient data for 16×16 transform unit using a 16×16 quantization matrix to generate quantized transform coefficient data, the 16×16 quantization matrix set by performing a nearest neighboring process including duplicating at least one of two elements adjacent to each other in an 8×8 quantization matrix; and

encoding the quantized transform coefficient data to generate a bit stream including the 8×8 quantization matrix as a parameter set.

6. The image processing method according to claim 5 , further comprising generating the bit stream including the 8×8 quantization matrix as a picture parameter set.

7. The image processing method according to claim 5 , further comprising setting set the 16×16 quantization matrix by performing the nearest neighboring process including duplicating at least one of two elements adjacent to each other in the 8×8 quantization matrix.

8. The image processing method according to claim 5 , wherein quantizing includes quantizing, via the circuitry, the transform coefficient data using the 16×16 quantization matrix (QM1) set by performing the nearest neighboring process on the elements in the 8×8 quantization matrix (QM2):

QM

1

=

(

a

00

a

00

a

10

a

10

a

20

a

20

a

30

a

30

a

40

a

40

a

50

a

50

a

60

a

60

a

70

a

70

a

00

a

00

a

10

a

10

a

20

a

20

a

30

a

30

a

40

a

40

a

50

a

50

a

60

a

60

a

70

a

70

a

01

a

01

a

11

a

11

a

21

a

21

a

31

a

31

a

41

a

41

a

51

a

51

a

61

a

61

a

71

a

71

a

01

a

01

a

11

a

11

a

21

a

21

a

31

a

31

a

41

a

41

a

51

a

51

a

61

a

61

a

71

a

71

a

02

a

02

a

12

a

12

a

22

a

22

a

32

a

32

a

42

a

42

a

52

a

52

a

62

a

62

a

72

a

72

a

02

a

02

a

12

a

12

a

22

a

22

a

32

a

32

a

42

a

42

a

52

a

52

a

62

a

62

a

72

a

72

a

03

a

03

a

13

a

13

a

23

a

23

a

33

a

33

a

43

a

43

a

53

a

53

a

63

a

63

a

73

a

73

a

03

a

03

a

13

a

13

a

23

a

23

a

33

a

33

a

43

a

43

a

53

a

53

a

63

a

63

a

73

a

73

a

04

a

04

a

14

a

14

a

24

a

24

a

34

a

34

a

44

a

44

a

54

a

54

a

64

a

64

a

74

a

74

a

04

a

04

a

14

a

14

a

24

a

24

a

34

a

34

a

44

a

44

a

54

a

54

a

64

a

64

a

74

a

74

a

05

a

05

a

15

a

15

a

25

a

25

a

35

a

35

a

45

a

45

a

55

a

55

a

65

a

65

a

75

a

75

a

05

a

05

a

15

a

15

a

25

a

25

a

35

a

35

a

45

a

45

a

55

a

55

a

65

a

65

a

75

a

75

a

06

a

06

a

16

a

16

a

26

a

26

a

36

a

36

a

46

a

46

a

56

a

56

a

66

a

66

a

76

a

76

a

06

a

06

a

16

a

16

a

26

a

26

a

36

a

36

a

46

a

46

a

56

a

56

a

66

a

66

a

76

a

76

a

07

a

07

a

17

a

17

a

27

a

27

a

37

a

37

a

47

a

47

a

57

a

57

a

67

a

67

a

77

a

77

a

07

a

07

a

17

a

17

a

27

a

27

a

37

a

37

a

47

a

47

a

57

a

57

a

67

a

67

a

77

a

77

)

QM

2

=

(

a

00

a

10

a

20

a

30

a

40

a

50

a

60

a

70

a

01

a

11

a

21

a

31

a

41

a

51

a

61

a

71

a

02

a

12

a

22

a

32

a

42

a

52

a

62

a

72

a

03

a

13

a

23

a

33

a

43

a

53

a

63

a

73

a

04

a

14

a

24

a

34

a

44

a

54

a

64

a

74

a

05

a

15

a

25

a

35

a

45

a

55

a

65

a

75

a

06

a

16

a

26

a

36

a

46

a

56

a

66

a

76

a

07

a

17

a

27

a

37

a

47

a

57

a

67

a

77

)

.

Assignments (4)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 9, 2022
From: VELOS MEDIA, LLC
To: SONY GROUP CORPORATION
Reel/Frame 061902/0867 →
RELEASE OF SECURITY INTEREST Recorded Jul 26, 2022
From: CORTLAND CAPITAL MARKET SERVICES LLC
To: VELOS MEDIA, LLC AND VELOS MEDIA MANAGEMENT, LLC
Reel/Frame 060923/0407 →
SECOND AMENDED AND RESTATED MEMBER INTELLECTUAL PROPERTY SECURITY AGREEMENT Recorded Apr 2, 2018
From: VELOS MEDIA MANAGEMENT, LLC; VELOS MEDIA, LLC
To: CORTLAND CAPITAL MARKET SERVICES LLC, AS COLLATERAL AGENT
Reel/Frame 045806/0030 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 26, 2017
From: SONY CORPORATION
To: VELOS MEDIA, LLC
Reel/Frame 042517/0073 →
Priority Claims (2)
JP 2010-275116 · Dec 9, 2010 · national
JP 2011-049992 · Mar 8, 2011 · national
Continuity (4)
Continuation 14868930 · Sep 29, 2015
Continuation 14474918 · Sep 2, 2014
Continuation 13881927
Related Publication 20170085876A1 · Mar 23, 2017