Least-Squares Halftoning via Human Vision System and Markov Gradient Descent (LS-MGD): Algorithm and Analysis

DOI10.1137/060653317zbMath1172.94327OpenAlexW2040810508WikidataQ56094114 ScholiaQ56094114MaRDI QIDQ3398288

Jianhong Shen

Publication date: 28 September 2009

Published in: SIAM Review (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/10d4269db7d6b66b102aa10c22fc7e9f07371913

zbMATH Keywords

entropyleast squaresrandom fieldsstochastic gradient descentspatial smoothingMarkov random walksstochastic convergencehalftoningBernoulli flippingblue noisehuman vision system (HVS)

Mathematics Subject Classification ID

Random fields; image analysis (62M40) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

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Stochastic Markov gradient descent and training low-bit neural networks

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