Optical Illusions Recognition Intelligence

Optical illusions have intrigued humanity for centuries, challenging our perception and understanding of visual stimuli. This paper delves into the realm of optical illusions through the lens of image processing techniques. By employing various digital tools and algorithms, we aim to dissect and analyze the mechanisms behind these illusions, shedding light on the fascinating interplay between human vision and computational models. Through a series of experiments and demonstrations, we showcase how image processing not only elucidates the inner workings of optical illusions but also unveils the potential applications of such insights in diverse fields, ranging from psychology to computer vision.

I. Introduction

Optical illusions (Figure 1), characterized by discrepancies between physical reality and perceived reality, serve as compelling puzzles for understanding the intricacies of human vision [1]. While traditional approaches to studying optical illusions have relied on psychological and neuroscientific methods, the advent of image processing technologies provides new avenues for exploration. In this paper, we delve into the realm of optical illusions through the lens of image processing, aiming to dissect, analyze, and manipulate these phenomena using computational tools and algorithms [2]. Fig. 1:

This optical illusion changes the way you see famous photos[1]