Method, an apparatus and a computer program product for video encoding and video decoding
The embodiments relate to a method and technical equipment for implementing the method. The method comprises receiving a block of input samples; performing at least a first inverse transform on a first set of input samples, resulting in a first set of inverse transformed samples; performing at least a second inverse transform on a second set of input samples, resulting in a second set of inverse transformed samples; determining statistical information related to the first set of inverse transformed samples and for determining statistical information related to the second set of inverse transformed samples; updating the first inverse transform based on the determined statistical information related to the first set of inverse transformed samples; and updating the second inverse transform based on the determined statistical information related to the second set of inverse transformed samples.
1. An apparatus comprising at least one processor, memory including computer program code, the memory and the computer program code configured to, with the at least one processor, cause the apparatus at least to:
receive a block of input samples;
perform at least a first inverse transform on a first set of input samples from the block of input samples, resulting in a first set of inverse transformed samples;
perform at least a second inverse transform on a second set of input samples from the block of input samples, resulting in a second set of inverse transformed samples;
determine statistical information related to the first set of inverse transformed samples and for determining statistical information related to the second set of inverse transformed samples;
update the first inverse transform based on the determined statistical information related to the first set of inverse transformed samples; and update the second inverse transform based on the determined statistical information related to the second set of inverse transformed samples.
2. The apparatus according to claim 1 , wherein the apparatus upon execution is further caused to determine at least a first and a second input samples from the block of input samples, and perform the first inverse transform on said first set of input samples comprising said at least first and second input samples.
3. The apparatus according to claim 2 , wherein the apparatus upon execution is further caused to determine at least a third and a fourth input samples from the block of input samples, wherein said third and fourth input samples are different from the first and second input samples, and perform the second inverse transform on said second set of input samples comprising said at least third and fourth input samples.
4. The apparatus according to claim 1 , wherein said second set of input samples comprise the first set of inverse transformed samples.
5. The apparatus according to claim 1 , wherein the statistical information comprises one or more of the following: covariance between at least two sample values; variance of one or more sample values; or an average value of one or more sample values.
6. The apparatus according to claim 1 , wherein the first or a second inverse transform is based on any of the following: a location of input samples; coding unit; prediction unit or transform unit parameters; or prediction block characteristics.
7. The apparatus according claim 1 , wherein the first or a second inverse transform is a horizontal transform or a vertical transform or a diagonal transform or a transform along other direction.
8. A method comprising:
receiving a block of input samples;
performing at least a first inverse transform on a first set of input samples from the block of input samples, resulting in a first set of inverse transformed samples;
performing at least a second inverse transform on a second set of input samples from the block of input samples, resulting in a second set of inverse transformed samples;
determining statistical information related to the first set of inverse transformed samples and for determining statistical information related to the second set of inverse transformed samples;
updating the first inverse transform based on the determined statistical information related to the first set of inverse transformed samples; and updating the second inverse transform based on the determined statistical information related to the second set of inverse transformed samples.
9. The method according to claim 8 , further comprising determining at least a first and a second input sample from the block of input samples, and performing the first inverse transform on said first set of input samples comprising said at least first and second input samples.
10. The method according to claim 9 , further comprising determining at least a third and a fourth input sample from the block of input samples, wherein said third and fourth input samples are different from the first and second input samples, and performing the second inverse transform on said second set of input samples comprising said at least third and fourth input samples.
11. The method according to claim 8 , wherein said second set of input samples comprises the first set of inverse transformed samples.
12. The method according to claim 8 , wherein the statistical information comprises one or more of the following: covariance between at least two sample values; variance of one or more sample values; average value of one or more sample values.
13. The method according to claim 8 wherein a first or a second inverse transform is based on any of the following: based on a location of input samples; coding unit; prediction unit or transform unit parameters; prediction block characteristics.
14. The method according to claim 8 , wherein a first or a second inverse transform is a horizontal transform or a vertical transform or a diagonal transform or a transform along other direction.