Biologically Inspired Hexagonal Deep Learning for Hexagonal Image Processing

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Exploring the limitations of current digital image processing methods in deep learning, the book highlights the disparity between artificial systems and the human visual perception model. It critiques the prevalent use of rectangular and square formats for image generation, proposing that hexagonal arrangements, inspired by the sensory cells in the human eye, could offer a more effective alternative. This perspective aims to bridge the gap between biological processes and technological advancements in image processing.