Quantization matrix design for HEVC standard

1. A method, comprising:

determining intra quantization matrices (QM_hvs_intra) of square-shaped blocks; and

converting the intra quantization matrices of the square-shaped blocks into correspondingly-sized inter square-shaped quantization matrices (QM_hvs_inter) according to the following conversion:

(i) for 1st row/column:

QM_hvs_inter[0][0]=QM_hvs_intra[0][0];

for (n=1; n<BLK_Y; n++)

QM_hvs_inter[0][n]=QM_hvs_inter[0][n−1]+(unsigned char) (slope_1st*(float)

(QMhvsintra[0][n]−QMhvs_intra[0][n−1])+0.5);

(ii) for last row/column:

QM_hvs_inter[0][BLK_Y−1]=QM_hvs_intra[0][BLK_Y−1];

for (m=1; m<BLK_X; m++)

QM_hvs_inter[m][BLKY−1]=QM_hvs_inter[m−1][BLKY−1]+(unsigned char) (slopelast*(float)

(QMhvsintra[m][BLKY−1]−QM_hvs_intra[m−1][BLKY−1])+0.5); and

(iii) remaining data due to symmetry;

for (m=1); m<BLK_X; m++)

for(n=0; n<BLK_Y−1; n++)

QM_hvs_inter[m][n]=QM_hvs_inter[m−1][n+1];

Where:

slope_1st=0.714285714;

slope_last=0.733333333;

BLK X is a matrix size in x direction;

BLK_Y is a matrix size in y direction; and

n, m are counter variables.

2. The method of claim 1 , further comprising determining intra quantization matrices of rectangular-shaped blocks.

3. The method of claim 2 , further comprising converting the intra quantization matrices of the rectangular-shaped blocks into corresponding inter rectangular-shaped quantization matrices.

4. The method of claim 3 , wherein the intra quantization matrices are selected from the group consisting of 4×4, 8×8, 16×16, and 32×32.

5. The method of claim 3 , wherein the intra quantization matrices are selected from the group consisting of 16×4, 32×8, 8×2, and 32×2.

6. An apparatus, comprising:

a memory configured to store an application; and

a processor configured to execute the application to:

determining intra quantization matrices (QM_hvs_intra) of square-shaped blocks; and

converting the intra quantization matrices of the square-shaped blocks into correspondingly-sized inter square-shaped quantization matrices (QM_hvs_inter) according to the following conversion:

(i) for 1st row/column:

QM_hvs_inter[0][0]=QM_hvs_intra[0][0];

for (n=1; n<BLK_Y; n++)

QM_hvs_inter[0][n]=QM_hvs_inter[0][n−1]+(unsigned char) (slope_1st*(float)

(QMhvsintra[0][n]−QMhvs_intra[0][n−1])+0.5);

(ii) for last row/column:

QM_hvs_inter[0][BLK_Y−1]=QM_hvs_intra[0][BLK_Y−1];

for (m=1; m<BLK_X; m++)

QM_hvs_inter[m][BLKY−1]=QM_hvs_inter[m−1][BLKY−1]+(unsigned char) (slopelast*(float)

(QMhvsintra[m][BLKY−1]−QM_hvs_intra[m−1][BLKY−1])+0.5); and

(iii) remaining data due to symmetry;

for (m=1); m<BLK_X; m++)

for(n=0; n<BLK_Y−1; n++)

QM_hvs_inter[m][n]=QM_hvs_inter[m−1][n+1];

Where:

slope_1st=0.714285714;

slope_last=0.733333333;

BLK X is a matrix size in x direction;

BLK_Y is a matrix size in y direction; and

n, m are counter variables.

7. The apparatus of claim 6 , wherein the processor is further configured to execute the application to determine intra quantization matrices of rectangular-shaped blocks.

8. The apparatus of claim 7 , wherein the processor is further configured to execute the application to convert the intra quantization matrices of the rectangular-shaped blocks into corresponding inter rectangular-shaped quantization matrices.

9. The apparatus of claim 6 , wherein the apparatus is selected from the group consisting of a personal computer, a laptop computer, a computer workstation, a server, a mainframe computer, a handheld computer, a personal digital assistant, a cellular/mobile telephone, a smart appliance, a gaming console, a digital camera, a digital camcorder, a camera phone, an portable music player, a tablet computer, a video player, a DVD writer/player, a Blu-ray writer/player, a television, and a home entertainment system.