{"id":13,"date":"2017-07-07T20:21:07","date_gmt":"2017-07-07T20:21:07","guid":{"rendered":"http:\/\/utsaengineer.wpengine.com\/faculty-page-example\/?page_id=13"},"modified":"2025-06-21T09:32:21","modified_gmt":"2025-06-21T14:32:21","slug":"research","status":"publish","type":"page","link":"https:\/\/ceid.utsa.edu\/agrigoryan\/research\/","title":{"rendered":"Research"},"content":{"rendered":"<p><span style=\"font-size: large;font-family: 'times new roman', times, serif\"><strong>Research<\/strong> in Signal and Image Processing, Theory and Methods:<\/span><\/p>\n<p><span style=\"font-family: 'times new roman', times, serif\"><a href=\"https:\/\/www.wiley.com\/en-us\/Quantum+Image+Processing+in+Practice%3A+A+Mathematical+Toolbox-p-9781394265152\"><em><strong>Quantum Computing in Image Processing<\/strong><\/em><\/a>: Quantum signal\/image representation and processing. Algorithms of the quantum Fourier transform, quantum image gradients.<\/span><\/p>\n<p><span style=\"font-family: 'times new roman', times, serif\"><a href=\"https:\/\/www.mdpi.com\/2078-2489\/16\/6\/466\"><em><strong>Quantum Multi-Qubit Operations \/ Gates<\/strong><\/em><\/a>: New arithmetic on qubits &#8211; multiplication and division of qubits. The quantum circuits of any gate without permutations and CNOTs, effective QR-decompositions of unitary matrices.<\/span><\/p>\n<p><span style=\"font-family: 'times new roman', times, serif\"><a href=\"https:\/\/spie.org\/Publications\/Book\/2278808?&amp;origin_id=x646\"><em><strong>Quaternion Imaging<\/strong><\/em><\/a>: Image enhancement, quaternion gradients, quaternion\u00a0 2-D convolution. Quaternion optimal filters (quaternion Wiener filter).<\/span><\/p>\n<p><span style=\"font-family: 'times new roman', times, serif\"><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0165168422000809?via%3Dihub\"><em><strong>Quaternion Commutative (2,2)-model<\/strong><\/em><\/a>:\u00a0 Quaternion algebra and DSP fundamental properties, commutative quaternions: Quaternion convolution, correlation, and Fourier transform .<\/span><\/p>\n<p><span style=\"font-family: 'times new roman', times, serif\"><b><i><a href=\"http:\/\/www.crcpress.com\/product\/isbn\/9781466509948?utm_source=WhatCounts+Publicaster+Edition&amp;utm_medium=email&amp;utm_campaign=JJL17_Signal_Processing&amp;utm_content=Image+Processing%3a%0dTensor+Transform+and%0dDiscrete+Tomography%0dwith+MATLAB(r)&lt;font\">Methods of Computed Tomography<\/a>:<\/i><\/b> Image reconstruction from parallel projections, <a href=\"https:\/\/ieeexplore.ieee.org\/document\/6576891\">Solution of the problem<\/a> with a finite number of projections. Principle of superposition by direction images.<\/span><\/p>\n<p><span style=\"font-family: 'times new roman', times, serif\"><i><b>Fast algorithms:<\/b><\/i> <a href=\"https:\/\/link.springer.com\/article\/10.1007\/s11128-019-2322-6\">Quantum Fourier Transform<\/a>, Quaternion 1-D and 2-D discrete Fourier transforms. Fast Fourier, Hartley, Hadamard, and cosine transforms.<\/span><\/p>\n<p><span style=\"font-family: 'times new roman', times, serif\"><i><b><a href=\"https:\/\/www.amazon.com\/Multidimensional-Discrete-Unitary-Transforms-Representation\/dp\/0824745965\">Tensor and paired representations<\/a>:<\/b><\/i> New methods of image and signal representations and processing by splitting-signals. Fast 1-D paired transform. <i>These transforms I developed and first published in 1984-1986s were used in many publications by different names, such as &#8220;discrete, finite, periodic, orthogonal, and generalized Radon, and mojette transforms.&#8221;<\/i><\/span><\/p>\n<p><span style=\"font-family: 'times new roman', times, serif\"><b><i><a href=\"https:\/\/ieeexplore.ieee.org\/document\/1453781\">Fourier analysis and Multiresolution<\/a>:<\/i><\/b> Resolution map, image compression. <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S016516840100144X\">Robust optimal filters<\/a>. <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0165168415003862\">Optimal (Wiener) filtration<\/a>. Image cryptography.<\/span><\/p>\n<p><span style=\"font-family: 'times new roman', times, serif\"><em><strong><a href=\"https:\/\/onlinelibrary.wiley.com\/doi\/abs\/10.1002\/047134608X.W5525.pub2\">Image enhancement<\/a>:<\/strong><\/em> Grayscale and color image enhancement in different color model, including in the quaternion space. Measures of image enhancement.\u00a0<\/span><\/p>\n<p><span style=\"font-family: 'times new roman', times, serif\"><b><i><a href=\"https:\/\/www.amazon.com\/Brief-Notes-Advanced-DSP-Analysis\/dp\/1439801371\">Elliptic discrete Fourier transforms<\/a>:<\/i><\/b> Two classes of transforms which generalize the known concept of the DFT and rotate data around the ellipses, not circles.<\/span><\/p>\n<p><span style=\"font-family: 'times new roman', times, serif\"><b><i><a href=\"https:\/\/www.wseas.us\/e-library\/conferences\/2008\/tomos\/tomos\/tomos03.pdf\"> Signal-induced Heap transforms<\/a>:<\/i><\/b> Fast unitary transforms which are generated by given signals. Angular representation. Triangularization of square matrices. QR-decomposition of <a href=\"https:\/\/www.scirp.org\/journal\/PaperInformation?PaperID=45910\">real<\/a> and <a href=\"https:\/\/www.scirp.org\/journal\/paperinformation?paperid=128553\">complex<\/a> matrices.<\/span><\/p>\n<p><span style=\"font-family: 'times new roman', times, serif\"><em><strong><a href=\"https:\/\/www.mdpi.com\/2227-7390\/13\/5\/699\"> Golden ratio function<\/a>:<\/strong><\/em> Theory of the golden ratio, the golden equation, and similarity fields in the multi-dimension vector space.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Research in Signal and Image Processing, Theory and Methods: Quantum Computing in Image Processing: Quantum signal\/image representation and processing. Algorithms of the quantum Fourier transform, quantum image gradients. Quantum Multi-Qubit Operations \/ Gates: New arithmetic on qubits &#8211; multiplication and division of qubits. The quantum circuits of any gate without permutations and CNOTs, effective QR-decompositions &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/ceid.utsa.edu\/agrigoryan\/research\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Research&#8221;<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-13","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Research - Artyom (Art) Grigoryan<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ceid.utsa.edu\/agrigoryan\/research\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Research - Artyom (Art) Grigoryan\" \/>\n<meta property=\"og:description\" content=\"Research in Signal and Image Processing, Theory and Methods: Quantum Computing in Image Processing: Quantum signal\/image representation and processing. 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