From Self-ception to Image Self-ception: A method to represent an image with its own approximations
This is an incremental method for image representation, potentially useful in computer vision or graphics applications.
The paper tackles the problem of representing images using their own approximations, proposing a method called 'Image Self-ception' that allows control over accuracy by adjusting the number of segments or regions used.
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).