Abstract: The method of the present disclosure includes: for a feature matrix of each channel of an image output from an intermediate layer of a neural network: determining row(s) and column(s) having same feature values at edges of the feature matrix as row(s) to be compressed and column(s) to be compressed, deleting the feature values of the row(s) to be compressed and the column(s) to be compressed, and reserving remaining feature values as reserved values; compressing the feature values of the row(s) to be compressed and the column(s) to be compressed to obtain edge value(s); and encoding the reserved values and the edge value(s), as well as a number of the row(s) to be compressed and a number of the column(s) to be compressed, and sending a result of the encoding to a decoder for restoring the feature matrix of the each channel by the decoder.