Blue Noise
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Blue Noise
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Author : Debra Oswald
language : en
Publisher: Random House Australia
Release Date : 2011-07-01
Blue Noise written by Debra Oswald and has been published by Random House Australia this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-01 with Juvenile Fiction categories.
Blue Noise is about people letting you down, how to survive your family and the amazing thrill of making music with your friends. Ash is drooling over his favourite guitar - the one he can't afford - when he meets Charlie Novak. One jam session later and Charlie convinces Ash to play in his band. But it'll never work. Bands never do. Erin is wandering down a corridor at school - overthinking things as usual - when she runs into Charlie. Literally. The guy is a fruit loop with his weird hair and hyperactive rantings. When Charlie invites her to be the band's keyboard player, Erin can't get a word in to say no. She's a classical pianist. It'll never work. But maybe this time things will be different. Maybe blues music is just what Ash and Erin need.
Blue Noise Methods For Hexagonal Grids And Multitone Dithering
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Author : Jan Bacca Rodriguez
language : en
Publisher:
Release Date : 2007
Blue Noise Methods For Hexagonal Grids And Multitone Dithering written by Jan Bacca Rodriguez and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.
The problem of digital halftoning originates in the need to reproduce physically a continuous tone image with a limited set of colors. The advent of the ink-jet printer increased the demand for practical high-quality halftoning algorithms that, in general, comply with the principles of blue noise dithering introduced by Ulichney. This work focuses on optimal image rendering algorithms for printing devices, addressing the need for new algorithms that support new printing technologies.
Blue Noise
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Author : Fabio Ferrari
language : it
Publisher:
Release Date : 2009
Blue Noise written by Fabio Ferrari and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Poetry categories.
Tiled Blue Noise Samples
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Author : Stefan Hiller
language : en
Publisher:
Release Date : 2007
Tiled Blue Noise Samples written by Stefan Hiller and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.
Blue
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Author : Steve Aoki
language : en
Publisher: Macmillan + ORM
Release Date : 2019-09-03
Blue written by Steve Aoki and has been published by Macmillan + ORM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-03 with Biography & Autobiography categories.
The music. The mix. His life. "[A] passionate, introspective memoir." —Publishers Weekly "Sometimes I think my whole life can be seen through shades of blue..." —Steve Aoki Blue is the remarkable story—in pictures and words—of Steve Aoki, the superstar DJ/producer who started his career as a vegan straightedge hardcore music kid hellbent on defying his millionaire father, whose unquenchable thirst to entertain—inherited from his dad, Rocky Aoki, founder of Benihana—led him to global success and two Grammy nominations. Ranked among the top ten DJs in the world today, Grammy-nominated artist, producer, label head, fashion designer, philanthropist and entrepreneur Steve Aoki is an authentic global trendsetter and tastemaker who has been instrumental in defining contemporary youth culture. Known for his outrageous stage antics (cake throwing, champagne spraying, and the ‘Aoki Jump’) and his endearing personality, Steve is also the brains behind indie record label Dim Mak, which broke acts such as The Kills, Bloc Party, and The Gossip. Dim Mak also put out the first releases by breakout EDM stars The Chainsmokers and The Bloody Beetroots, as well as the early releases for Grammy-nominated artist Iggy Azalea, in addition to EDM star Zedd and electro duo MSTRKFT. In Blue, Aoki recounts the epic highs of music festivals, clubs and pool parties around the world, as well as the lows of friendships lost to drugs and alcohol, and his relationship with his flamboyant father. Illustrated with candid photos gathered throughout his life, the book reveals how Aoki became a force of nature as an early social media adopter, helping to turn dance music into the phenomenon it is today. All this, while remaining true to his DIY punk rock principles, which value spontaneity, fun and friendship above all else—demonstrable by the countless cakes he has flung across cities worldwide.
Multiphase Implicit Modeling And Variational Blue Noise Sampling
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Author : Zhan Yuan
language : en
Publisher: Open Dissertation Press
Release Date : 2017-01-26
Multiphase Implicit Modeling And Variational Blue Noise Sampling written by Zhan Yuan and has been published by Open Dissertation Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-26 with categories.
This dissertation, "Multiphase Implicit Modeling and Variational Blue Noise Sampling" by Zhan, Yuan, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: This thesis investigates two fundamental problems in computer graphics including object modeling and sampling. In object modeling problems, implicit function is widely used. It has a wide range of applications in entertainment, engineering and medical imaging. A standard two-phase implicit function only represents the interior and exterior of a single object. To facilitate solid modeling of heterogeneous objects with multiple internal regions, object-space multiphase implicit functions are much desired. Multiphase implicit functions have much potential in modeling natural organisms, heterogeneous mechanical parts and anatomical atlases. In the first part of this thesis, we introduce a novel class of object-space multiphase implicit functions that are capable of accurately and compactly representing objects with multiple internal regions. Our proposed multiphase implicit functions facilitate true object-space geometric modeling of heterogeneous objects with non-manifold features. We present multiple methods to create object-space multiphase implicit functions from existing data, including meshes and segmented medical images. Our algorithms are inspired by machine learning algorithms for training multicategory max-margin classifiers. Comparisons demonstrate that our method achieves an error rate one order of magnitude smaller than alternative techniques. In the second part of this thesis we study another important problem, sampling, which is a core process for numerous graphics applications including rendering, non-photorealistic image stippling, imaging, and geometry processing. Among all the existing sampling algorithms, blue noise point sampling is especially popular because it can generate spatial uniform point distribution with no aliasing artifacts. We present a new and versatile variational framework for generating point distributions with high-quality blue noise characteristics while precisely adapting to given density functions. Different from previous approaches based on discrete settings of capacity-constrained Voronoi tessellation, we cast the blue noise sampling generation as a variational problem with continuous settings. Based on an accurate evaluation of the gradient of an energy function, an efficient optimization is developed which delivers significantly faster performance than the previous optimization-based methods. Our framework can easily be extended to generating blue noise point samples on manifold surfaces and for multi-class sampling. The optimization formulation also allows us to naturally deal with dynamic domains, such as deformable surfaces, and to yield blue noise samplings with temporal coherence. We present experimental results to validate the efficacy of our variational framework. A core step in our blue noise sampling algorithm is to compute the Voronoi diagram. This is a fundamental geometry structure which has numerous applications including computer animation, pattern recognition and so on. Efficient computation of Voronoi diagram is critical for improving the performance of these applications. Thus, we also study the problem of using the GPU to compute the generalized Voronoi diagram (GVD) for higher-order sites, such as line segments and curves. We propose an algorithm that can compute considerately more accurate GVD with much less memory than using the existing algorithms, with only moderate increase of the running time. DOI: 10.5353/th_b5185956 Sub
Generalized Blue Noise Sampling On Graphs And Applications
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Author : Maria Daniela Dapena Rivero
language : en
Publisher:
Release Date : 2022
Generalized Blue Noise Sampling On Graphs And Applications written by Maria Daniela Dapena Rivero and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
Graph Signal Processing (GSP) extends classical signal processing to the analysis of signals supported over irregular grids represented by graphs. Sampling and reconstruction are fundamental tools that have received considerable attention in GSP. Under the assumption that adjacent nodes tend to have similar signal values, a reconstruction method that recovers a signal by minimizing its variation with respect to the graph structure is proposed. To this end, the mean square error of the recovered signal is minimized by sampling sets whose spectrum presents high-frequency dominance, a characteristic present in blue-noise patterns that suppress the low-frequency components by maximizing the inter-sample distance. Blue-noise sampling has many advantages, including the possibility of finding close to optimal sampling performance using simple distance concepts. However, the formulation of blue-noise sampling is restricted to graphs with regular structures, and most applications involve irregular graphs. Thus, the underlying principles of blue-noise sampling need to be considered in a broader sense. Another limitation of blue noise is its high computational complexity, limiting its use to small graphs. This work overcomes these limitations and generalizes blue-noise sampling to large and irregular graphs. First, blue-noise sampling is generalized to irregular graphs by regularizing the weights across the edges of the graph before sampling, such that the concentration of samples is adapted to the local density of nodes. Secondly, a new and scalable approach can be easily parallelized to leverage the massive parallel processing power readily available in commodity hardware is proposed. The proposed method uses graph partitioning algorithms in concert with vertex-domain blue-noise sampling to develop two sampling schemes that minimize the recovery error and are based on the spatial characteristic of the graph. The first sampling scheme combines graph partitioning with the void-and-cluster algorithm. The second approach uses error diffusion in the partitions. Experiments on synthetic and real data show the effectiveness of these new approaches on very large graphs. Then, the partitions are used to recover the signal by adding some overlapping, which induces smoothness in the recovered signal within and between partitions. Finally, the benefits of blue-noise sampling on graphs are extended outside of GSP to the active form of semi-supervised learning to reduce the amount of labeled data needed by the machine learning algorithms to achieve high accuracy.
Blue Noise Halftoning
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Author : Meng Yao
language : en
Publisher:
Release Date : 1996
Blue Noise Halftoning written by Meng Yao and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with categories.
The Optimization Of Blue Noise Halftoning Based On Human Visual Perception
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Author : Muge Wang
language : en
Publisher:
Release Date : 2001
The Optimization Of Blue Noise Halftoning Based On Human Visual Perception written by Muge Wang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with categories.
The Law Of Chemical And Pharmaceutical Invention
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Author : Jerome Rosenstock
language : en
Publisher: Aspen Publishers Online
Release Date : 2012
The Law Of Chemical And Pharmaceutical Invention written by Jerome Rosenstock and has been published by Aspen Publishers Online this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Chemicals categories.