Intra prediction in image processing
An intra prediction method and a device using the intra prediction method are provided. The intra prediction method includes the steps of: deriving a current prediction mode as a prediction mode of a current block; constructing neighboring samples of the current block with available reference samples; filtering the available reference samples; and generating predicted samples of the current block on the basis of the filtered available reference samples. The filtering step includes performing the filtering using the available reference sample located in the prediction direction of the current prediction mode and a predetermined number of available reference samples neighboring to the prediction direction of the current prediction mode.
1. An image encoding method comprising:
determining an intra prediction mode for a current block, wherein the intra prediction mode is one of intra prediction modes including a plurality of directional intra prediction modes, and the intra prediction mode for the current block is induced into at least one of at least one of a left top diagonal directional intra prediction mode or a horizontal directional intra prediction mode;
deriving neighboring reference samples of the current block;
filtering the neighboring reference samples;
generating a prediction sample for the current block based on one of the filtered neighboring reference samples;
generating a residual sample for the current block based on the prediction sample; and
generating a bitstream including prediction information for the current block and residual information for the residual sample,
wherein, in the filtering step, filtering is performed by using a first neighboring reference sample located in a prediction direction of the intra prediction mode with regard to the prediction sample and neighboring reference samples adjacent to the first neighboring reference sample,
wherein, when the intra prediction mode for the current block is induced into the left top diagonal directional intra prediction mode and the first neighboring reference sample is located on a top side of the current block, a filtered sample value for the first neighboring reference sample is derived based on following equation by using the first neighboring reference sample, a second neighboring reference sample located on a left side of the first neighboring reference sample and a third neighboring reference sample located on a right side of the first neighboring reference sample,
(
r
(
x
-
1
)
+
2
*
r
(
x
)
+
r
(
x
+
1
)
+
2
)
≫
2
wherein, the r(x) represents a sample value of the first neighboring reference sample, the r(x−1) represents a value of the second neighboring reference sample and the r(x+1) represents a sample value of the third neighboring reference sample,
wherein, when the intra prediction mode for the current block is induced into the left top diagonal directional intra prediction mode and the first neighboring reference sample is located on a left side of the current block, a filtered sample value for the first neighboring reference sample is derived based on following equation by using the first neighboring reference sample, a fourth neighboring reference sample located on an upper side of the first neighboring reference sample and a fifth neighboring reference sample located on a lower side of the first neighboring reference sample,
(
r
(
y
-
1
)
+
2
*
r
(
y
)
+
r
(
y
+
1
)
+
2
)
≫
2
wherein, the r(y) represents a sample value of the first neighboring reference sample, the r(y−1) represents a value of the fourth neighboring reference sample and the r(y+1) represents a sample value of the fifth neighboring reference sample,
wherein, when the intra prediction mode for the current block is induced into the horizontal directional intra prediction mode and the first neighboring reference sample is located on a left side of the current block, a filtered sample value for the first neighboring reference sample is derived based on following equation by using the first neighboring reference sample, a sixth neighboring reference sample located on an upper side of the first neighboring reference sample and a seventh neighboring reference sample located on a lower side of the first neighboring reference sample,
(
r
(
y
-
1
)
+
2
*
r
(
y
)
+
r
(
y
+
1
)
+
2
)
≫
2
wherein, the r(y) represents a sample value of the first neighboring reference sample, the r(y−1) represents a value of the sixth neighboring reference sample and the r(y+1) represents a sample value of the seventh neighboring reference sample,
wherein, when the intra prediction mode for the current block is induced into the vertical directional intra prediction mode and the first neighboring reference sample is located on a top side of the current block, a filtered sample value for the first neighboring reference sample is derived based on following equation by using the first neighboring reference sample, a eighth neighboring reference sample located on a left side of the first neighboring reference sample and a nineth neighboring reference sample located on a right side of the first neighboring reference sample,
(
r
(
x
-
1
)
+
2
*
r
(
x
)
+
r
(
x
+
1
)
+
2
)
≫
2
wherein, the r(x) represents a sample value of the first neighboring reference sample, the r(x−1) represents a value of the eighth neighboring reference sample and the r (x+1) represents a sample value of the nineth neighboring reference sample.
2. An image decoding method comprising:
obtaining prediction information for a current block and residual information for the current block through a bitstream;
deriving an intra prediction mode for the current block based on the prediction information, wherein the intra prediction mode is one of intra prediction modes including a plurality of directional intra prediction modes, and the intra prediction mode for the current block is induced into at least one of at least one of a left top diagonal directional intra prediction mode or a horizontal directional intra prediction mode;
deriving neighboring reference samples of the current block;
filtering the neighboring reference samples;
generating a prediction sample for the current block based on one of the filtered neighboring reference samples;
generating a residual sample for the current block based on the residual information; and
generating a reconstructed picture based on the prediction sample and the residual sample, wherein, in the filtering step, filtering is performed by using a first neighboring reference sample located in a prediction direction of the intra prediction mode with regard to the prediction sample and neighboring reference samples adjacent to the first neighboring reference sample,
wherein, when the intra prediction mode for the current block is induced into the left top diagonal directional intra prediction mode and the first neighboring reference sample is located on a top side of the current block, a filtered sample value for the first neighboring reference sample is derived based on following equation by using the first neighboring reference sample, a second neighboring reference sample located on a left side of the first neighboring reference sample and a third neighboring reference sample located on a right side of the first neighboring reference sample,
(
r
(
x
-
1
)
+
2
*
r
(
x
)
+
r
(
x
+
1
)
+
2
)
≫
2
wherein, the r(x) represents a sample value of the first neighboring reference sample, the r(x−1) represents a value of the second neighboring reference sample and the r(x+1) represents a sample value of the third neighboring reference sample,
wherein, when the intra prediction mode for the current block is induced into the left top diagonal directional intra prediction mode and the first neighboring reference sample is located on a left side of the current block, a filtered sample value for the first neighboring reference sample is derived based on following equation by using the first neighboring reference sample, a fourth neighboring reference sample located on an upper side of the first neighboring reference sample and a fifth neighboring reference sample located on a lower side of the first neighboring reference sample,
(
r
(
y
-
1
)
+
2
*
r
(
y
)
+
r
(
y
+
1
)
+
2
)
≫
2
wherein, the r(y) represents a sample value of the first neighboring reference sample, the r(y−1) represents a value of the fourth neighboring reference sample and the r(y+1) represents a sample value of the fifth neighboring reference sample,
wherein, when the intra prediction mode for the current block is induced into the horizontal directional intra prediction mode and the first neighboring reference sample is located on a left side of the current block, a filtered sample value for the first neighboring reference sample is derived based on following equation by using the first neighboring reference sample, a sixth neighboring reference sample located on an upper side of the first neighboring reference sample and a seventh neighboring reference sample located on a lower side of the first neighboring reference sample,
(
r
(
y
-
1
)
+
2
*
r
(
y
)
+
r
(
y
+
1
)
+
2
)
≫
2
wherein, the r(y) represents a sample value of the first neighboring reference sample, the r(y−1) represents a value of the sixth neighboring reference sample and the r(y+1) represents a sample value of the seventh neighboring reference sample,
wherein, when the intra prediction mode for the current block is induced into the vertical directional intra prediction mode and the first neighboring reference sample is located on a top side of the current block, a filtered sample value for the first neighboring reference sample is derived based on following equation by using the first neighboring reference sample, a eighth neighboring reference sample located on a left side of the first neighboring reference sample and a nineth neighboring reference sample located on a right side of the first neighboring reference sample,
(
r
(
x
-
1
)
+
2
*
r
(
x
)
+
r
(
x
+
1
)
+
2
)
≫
2
wherein, the r(x) represents a sample value of the first neighboring reference sample, the r(x−1) represents a value of the eighth neighboring reference sample and the r(x+1) represents a sample value of the nineth neighboring reference sample.
3. A transmission method of data for image, the method comprising:
obtaining a bitstream for the image,
wherein the bitstream is generated based on obtaining prediction information for a current block and residual information for the current block through a bitstream, deriving an intra prediction mode for the current block based on the prediction information, wherein the intra prediction mode is one of intra prediction modes including a plurality of directional intra prediction modes, and the intra prediction mode for the current block is induced into at least one of at least one of a left top diagonal directional intra prediction mode or a horizontal directional intra prediction mode, deriving neighboring reference samples of the current block, filtering the neighboring reference samples, generating a prediction sample for the current block based on one of the filtered neighboring reference samples, generating a residual sample for the current block based on the residual information, and generating a reconstructed picture based on the prediction sample and the residual sample;
transmitting the data including the bitstream,
wherein, in the filtering step, filtering is performed by using a first neighboring reference sample located in a prediction direction of the intra prediction mode with regard to the prediction sample and neighboring reference samples adjacent to the first neighboring reference sample,
wherein, when the intra prediction mode for the current block is induced into the left top diagonal directional intra prediction mode and the first neighboring reference sample is located on a top side of the current block, a filtered sample value for the first neighboring reference sample is derived based on following equation by using the first neighboring reference sample, a second neighboring reference sample located on a left side of the first neighboring reference sample and a third neighboring reference sample located on a right side of the first neighboring reference sample,
(
r
(
x
-
1
)
+
2
*
r
(
x
)
+
r
(
x
+
1
)
+
2
)
≫
2
wherein, the r(x) represents a sample value of the first neighboring reference sample, the r(x−1) represents a value of the second neighboring reference sample and the r(x+1) represents a sample value of the third neighboring reference sample,
wherein, when the intra prediction mode for the current block is induced into the left top diagonal directional intra prediction mode and the first neighboring reference sample is located on a left side of the current block, a filtered sample value for the first neighboring reference sample is derived based on following equation by using the first neighboring reference sample, a fourth neighboring reference sample located on an upper side of the first neighboring reference sample and a fifth neighboring reference sample located on a lower side of the first neighboring reference sample,
(
r
(
y
-
1
)
+
2
*
r
(
y
)
+
r
(
y
+
1
)
+
2
)
≫
2
wherein, the r(y) represents a sample value of the first neighboring reference sample, the r(y−1) represents a value of the fourth neighboring reference sample and the r(y+1) represents a sample value of the fifth neighboring reference sample,
wherein, when the intra prediction mode for the current block is induced into the horizontal directional intra prediction mode and the first neighboring reference sample is located on a left side of the current block, a filtered sample value for the first neighboring reference sample is derived based on following equation by using the first neighboring reference sample, a sixth neighboring reference sample located on an upper side of the first neighboring reference sample and a seventh neighboring reference sample located on a lower side of the first neighboring reference sample,
(
r
(
y
-
1
)
+
2
*
r
(
y
)
+
r
(
y
+
1
)
+
2
)
≫
2
wherein, the r(y) represents a sample value of the first neighboring reference sample, the r(y−1) represents a value of the sixth neighboring reference sample and the r (y+1) represents a sample value of the seventh neighboring reference sample,
wherein, when the intra prediction mode for the current block is induced into the vertical directional intra prediction mode and the first neighboring reference sample is located on a top side of the current block, a filtered sample value for the first neighboring reference sample is derived based on following equation by using the first neighboring reference sample, a eighth neighboring reference sample located on a left side of the first neighboring reference sample and a nineth neighboring reference sample located on a right side of the first neighboring reference sample,
(
r
(
x
-
1
)
+
2
*
r
(
x
)
+
r
(
x
+
1
)
+
2
)
≫
2
wherein, the r(x) represents a sample value of the first neighboring reference sample, the r(x−1) represents a value of the eighth neighboring reference sample and the r(x+1) represents a sample value of the nineth neighboring reference sample.