In the following, various embodiments will be described in more detail with reference to the appended drawings, in which In the following, several embodiments will be described in the context of image compression. In particular, the several embodiments enable using neural network for image compression/decompression. It is to be noted, however, that the embodiments are not limited to compression/decompression of images, but compression/decompression of video as well. Therefore, any time term “image” is used in the following description, it is appreciated that the term covers also “video” or “video frame”.In addition, the present embodiments are also applicable with other media content, such as audio, speech, etc. For example, the data block corresponding of the image block concept in audio signals may be an audio frame. Spatially neighboring image blocks may correspond to temporally neighboring audio frames. In addition, similar concepts of image blocks can be used when considering audio spectrogram images. Description of the Drawings Description of Example Embodiments Fig. 1 shows an example of a computer system according to an embodiment; Fig. 2 shows an embodiment for a training process of a neural auto-encoder; Fig. 3 shows a sequential encoder overfitting according to a first embodiment; Fig. 4 shows another example of a sequential encoder overfitting according to a first embodiment; Fig. 5 shows a decoder overfitting according to a second embodiment; Fig. 6 is a flowchart illustrating a method according to an embodiment; and Fig. 7 is a flowchart illustrating a method according to another embodiment.