A concept of defining images based on its own approximate ones is proposed here, which is called 'Self-ception'. In this regard, an algorithm is proposed to implement the self-ception for images, which we call it 'Image Self-ception' since we use it for images. We can control the accuracy of this self-ception representation by deciding how many segments or regions we want to use for the representation. Some self-ception images are included in the paper. The video versions of the proposed image self-ception algorithm in action are shown in a YouTube channel (find it by Googling image self-ception).
@article{arxiv.1806.05610,
title = {From Self-ception to Image Self-ception: A method to represent an image with its own approximations},
author = {Hamed Shah-Hosseini},
journal= {arXiv preprint arXiv:1806.05610},
year = {2018}
}