Method and device for encoding or decoding image
An image decoding method and apparatus according to an embodiment may extract, from a bitstream, a quantization coefficient generated through core transformation, secondary transformation, and quantization; generate an inverse-quantization coefficient by performing inverse quantization on the quantization coefficient; generate a secondary inverse-transformation coefficient by performing secondary inverse-transformation on a low frequency component of the inverse-quantization coefficient, the secondary inverse-transformation corresponding to the secondary transformation; and perform core inverse-transformation on the secondary inverse-transformation coefficient, the core inverse-transformation corresponding to the core transformation.
1. An entropy decoding method comprising:
obtaining, probability information used in performing arithmetic decoding on a current bin by updating, by using a first probability model and a second probability model, previous probability information that was used in performing arithmetic decoding on a previous bin;
obtaining the current bin by performing arithmetic decoding based on the obtained probability information; and
obtaining a syntax element by de-binarizing the obtained current bin,
wherein the first probability model and the second probability model each use a size of a window, and a size of a window of the first probability model is less than a size of a window of the second probability model, and
wherein at least one of the size of the window of the first probability model and the size of the window of the second probability model are determined based on a type of a current slice or a type of a current picture.
2. The entropy decoding method of claim 1 , wherein one of the size of the window of the first probability model and the size of the window of the second probability model are obtained from the bitstream.
3. The entropy decoding method of claim 1 , wherein one of the size of the window of the first probability model and the size of the window of the second probability model has a fixed value.
4. The entropy decoding method of claim 1 , wherein the type of the current slice or the type of the current picture is one of I slice (or picture), P slice (or picture), and B slice (or picture).