Some interesting permutations of Gerard Richter's 1024 Colours

Some interesting permutations of Gerard Richter's 1024 Colours | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Some interesting permutations of Gerard Richter's 1024 Colours Andre R.S. Marcal This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7632680/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This paper focus on Gerhard Richter's painting '1024 Colours', in particular the search for alternative colour permutations to the one randomly defined. The trigger was an observation by the artist "that light would have taken more than 400 billion years to travel from the first painting to the last", if he had painted all possible permutations. A system was developed to find the 1024-permutation that best matches any given base image, using optimisation techniques and colour distances as a measure of colour similarity. The results indicate that it is usually possible to recognise the base image content in the 1024-permutation, even for complex images. Computational Mathematics Artificial Intelligence and Machine Learning Gerhard Richter permutations optimisation image processing colour distance histogram matching Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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