Stable and controllable noise

Jong Chul Yoon; In Kwon Lee

doi:10.1016/j.gmod.2008.04.001

Stable and controllable noise

Jong Chul Yoon, In Kwon Lee

College of Computing

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

We introduce a stable noise function with controllable properties. The well-known Perlin noise function is generated by interpolation of a pre-defined random number table. This table must be modified if user-defined constraints are to be satisfied, but modification can destroy the stability of the table. We integrate statistical tools for measuring the stability of a random number table with user constraints within an optimization procedure, so as to create a controlled random number table which nevertheless has a uniform random distribution, no periodicity, and a band-limited property.

Original language	English
Pages (from-to)	105-115
Number of pages	11
Journal	Graphical Models
Volume	70
Issue number	5
DOIs	https://doi.org/10.1016/j.gmod.2008.04.001
Publication status	Published - 2008 Sept

Bibliographical note

Funding Information:
This work was supported by the IT R&D program of MIC/IITA (Development of Computational Photography Technologies for Image and Video Contents).

All Science Journal Classification (ASJC) codes

Software
Modelling and Simulation
Geometry and Topology
Computer Graphics and Computer-Aided Design

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10.1016/j.gmod.2008.04.001

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N2 - We introduce a stable noise function with controllable properties. The well-known Perlin noise function is generated by interpolation of a pre-defined random number table. This table must be modified if user-defined constraints are to be satisfied, but modification can destroy the stability of the table. We integrate statistical tools for measuring the stability of a random number table with user constraints within an optimization procedure, so as to create a controlled random number table which nevertheless has a uniform random distribution, no periodicity, and a band-limited property.

AB - We introduce a stable noise function with controllable properties. The well-known Perlin noise function is generated by interpolation of a pre-defined random number table. This table must be modified if user-defined constraints are to be satisfied, but modification can destroy the stability of the table. We integrate statistical tools for measuring the stability of a random number table with user constraints within an optimization procedure, so as to create a controlled random number table which nevertheless has a uniform random distribution, no periodicity, and a band-limited property.

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Stable and controllable noise

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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