A Python-based command-line tool designed for local adaptive binarization of high-resolution document scans, historical manuscripts, and scientific images. By utilizing a local block-based ...
Abstract: This paper presents BAM-Net, a hardware-efficient binarization algorithm designed for associative memory (AM) implementation. BAM-Net aims to reduce memory overhead, power consumption, and ...
Abstract: The success of modern single image super-resolution (SISR) algorithms is inspired by the development of deep convolutional neural networks (CNNs). However, these CNN-based methods require ...
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