Publisher: Springer; 1 edition (September 1, 1999)
Format: PDF / Kindle / ePub
Size: 8.8 MB
Downloadable formats: PDF
This booklet provides novel suggestions for describing picture textures. opposite to the standard perform of embedding the pictures to recognized modelling frameworks borrowed from statistical physics or different domain names, this booklet deduces the Gibbs versions from simple photo gains and tailors the modelling framework to the pictures. This procedure leads to extra normal Gibbs types than may be both Markovian or non-Markovian and own arbitrary interplay constructions and strengths. The e-book provides computationally possible algorithms for parameter estimation and photo simulation and demonstrates their talents and boundaries by way of various experimental effects. The publication avoids too summary mathematical structures and provides particular image-based reasons of the entire notions concerned. viewers: The publication should be learn by means of either experts and graduate scholars in computing device technology and electric engineering who take an curiosity in texture research and synthesis. additionally, the e-book will be attention-grabbing to experts and graduate scholars in utilized arithmetic who discover random fields.
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