Feb. 8, 2024, 5:47 a.m. | Cheuk-Kit Lau Menghan Xia Tien-Tsin Wong

cs.CV updates on arXiv.org arxiv.org

Traditional halftoning usually drops colors when dithering images with binary dots, which makes it difficult to recover the original color information. We proposed a novel halftoning technique that converts a color image into a binary halftone with full restorability to its original version. Our novel base halftoning technique consists of two convolutional neural networks (CNNs) to produce the reversible halftone patterns, and a noise incentive block (NIB) to mitigate the flatness degradation issue of CNNs. Furthermore, to tackle the conflicts …

binary color colors convolutional neural networks cs.cv eess.iv image images information networks neural networks novel predictive via

Doctoral Researcher (m/f/div) in Automated Processing of Bioimages

@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena

Research Scholar (Technical Research)

@ Centre for the Governance of AI | Hybrid; Oxford, UK

Backend Spark Developer

@ Talan | Warsaw, Poland

Pricing & Data Management Intern

@ Novelis | Atlanta, GA, United States

Sr Data Engineer

@ Visa | Bengaluru, India

Customer Analytics / Data Science - Lead Analyst - Analytics US Timezone

@ dentsu international | Bengaluru, India